From f739875f3931a209280b0d08fb3991205a649327 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 10:59:49 +0300 Subject: [PATCH 01/17] Add an MCP server with a get_result tool Co-Authored-By: Claude Opus 5 --- pyproject.toml | 9 +- src/behavioralsignals/mcp_server.py | 179 ++++++++++++++++++++++++ tests/test_mcp_server.py | 203 ++++++++++++++++++++++++++++ 3 files changed, 389 insertions(+), 2 deletions(-) create mode 100644 src/behavioralsignals/mcp_server.py create mode 100644 tests/test_mcp_server.py diff --git a/pyproject.toml b/pyproject.toml index 2613b29..e8b56c9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,12 +1,12 @@ [project] name = "behavioralsignals" -version = "0.6.0" +version = "0.7.0" description = "Official Python SDK for the Behavioral Signals API: voice emotion/behavior analysis and audio/video deepfake detection" readme = "README.md" authors = [{ name = "Behavioral Signal Technologies" }] requires-python = ">=3.10" license = { file = "LICENSE" } -keywords = ["emotion-recognition", "speech", "voice", "deepfake-detection", "audio", "video", "grpc", "sdk"] +keywords = ["emotion-recognition", "speech", "voice", "deepfake-detection", "audio", "video", "grpc", "sdk", "mcp"] classifiers = [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", @@ -34,9 +34,14 @@ dependencies = [ [project.optional-dependencies] dev = [ "grpcio-tools>=1.73.1", + "mcp>=2.2.0,<3", "pytest>=8", "ruff==0.16.8", ] +mcp = ["mcp>=2.2.0,<3"] + +[project.scripts] +behavioralsignals-mcp = "behavioralsignals.mcp_server:main" [project.urls] Homepage = "https://behavioralsignals.com/" diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py new file mode 100644 index 0000000..b09e267 --- /dev/null +++ b/src/behavioralsignals/mcp_server.py @@ -0,0 +1,179 @@ +"""MCP server that lets AI assistants run Behavioral Signals analyses. + +Run it with `behavioralsignals-mcp` after `pip install "behavioralsignals[mcp]"`. It talks MCP +over stdio, so it must never print to stdout. +""" + +import json +from typing import Literal, Annotated +from contextlib import contextmanager + +from pydantic import Field + + +try: + from mcp.types import ToolAnnotations + from mcp.server import MCPServer + from mcp.server.mcpserver.exceptions import ToolError +except ImportError as error: + raise ImportError( + "The MCP server needs the mcp package; install it with: " + "pip install 'behavioralsignals[mcp]'" + ) from error + +from .base import BehavioralSignalsError +from .models import ResultItem +from .deepfakes import Deepfakes +from .behavioral import Behavioral + + +Analysis = Literal["behavioral", "deepfake_audio", "deepfake_video"] +WaitSeconds = Annotated[float, Field(ge=0)] + +DEFAULT_WAIT = 45 +DEFAULT_LIMIT = 300 +RESULT_COLUMNS = ["start", "end", "task", "label", "confidence"] +READ_ONLY = ToolAnnotations(read_only_hint=True) + +server = MCPServer( + "Behavioral Signals", + instructions=( + "Analyze speech for emotion and behavior, and detect audio or video deepfakes. " + "Upload tools wait up to wait_seconds, then return the results or a pid. " + "Call get_result with that pid for a job that is still processing, for more rows, " + "or to filter tasks. Each upload uses credits." + ), +) + + +@server.tool(annotations=READ_ONLY, structured_output=False) +def get_result( + pid: int, + analysis: Analysis, + tasks: list[str] | None = None, + offset: Annotated[int, Field(ge=0)] = 0, + limit: Annotated[int, Field(ge=1, le=1000)] = DEFAULT_LIMIT, + wait_seconds: WaitSeconds = DEFAULT_WAIT, +) -> str: + """Returns the results of a job, waiting up to wait_seconds if it is still processing. + + `analysis` is the kind of job: "behavioral" (analyze_behavior), "deepfake_audio" or + "deepfake_video" (detect_deepfake). Results come as tab-separated rows, `limit` rows from + `offset`. `tasks` keeps only those tasks, e.g. ["emotion"]; the header lists the task names. + """ + with _tool_errors(), _api(analysis) as api: + return _result_text(api, analysis, pid, wait_seconds, tasks, offset, limit) + + +def main(): + """Runs the MCP server over stdio.""" + server.run() + + +def _api(analysis: str) -> Behavioral | Deepfakes: + """Returns a new API client; the credentials come from the environment.""" + return Behavioral() if analysis == "behavioral" else Deepfakes() + + +@contextmanager +def _tool_errors(): + """Turns expected errors into ToolError, the only kind whose message reaches the model.""" + try: + yield + except (ValueError, OSError, RuntimeError, BehavioralSignalsError) as error: + raise ToolError(str(error)) from error + + +def _result_text( + api: Behavioral | Deepfakes, + analysis: str, + pid: int, + wait_seconds: float, + tasks: list[str] | None, + offset: int, + limit: int, +) -> str: + """Waits up to wait_seconds for the result and formats one page of it.""" + wait = api.wait_for_video_result if analysis == "deepfake_video" else api.wait_for_result + try: + result = wait(pid=pid, timeout=wait_seconds) + except TimeoutError: + retry = _call("get_result", pid=pid, analysis=analysis) + return f"pid {pid} is still processing. Call {retry} to wait again." + return _format_result(pid, analysis, _result_rows(result, analysis), tasks, offset, limit) + + +def _result_rows(result, analysis: str) -> list[list[str]]: + """Returns the rows that have a label; video rows start with their track.""" + if analysis != "deepfake_video": + return _labelled_rows(result.results) + audio = [["audio", *row] for row in _labelled_rows(result.audio_results)] + video = [["video", *row] for row in _labelled_rows(result.video_results)] + return audio + video + + +def _labelled_rows(items: list[ResultItem] | None) -> list[list[str]]: + rows = (_result_row(item) for item in items or []) + return [row for row in rows if row] + + +def _result_row(item: ResultItem) -> list[str] | None: + """Returns the item as a row, or None if it has no label (e.g. the features row).""" + top = item.prediction[0] if item.prediction else None + label = item.finalLabel or (top.score if top else None) + if not label: + return None + confidence = top.posterior if top else None + return [_cell(value) for value in (item.startTime, item.endTime, item.task, label, confidence)] + + +def _format_result( + pid: int, + analysis: str, + rows: list[list[str]], + tasks: list[str] | None, + offset: int, + limit: int, +) -> str: + """Formats the rows of the tasks, `limit` rows from `offset`, as a tab-separated table.""" + columns = (["track"] if analysis == "deepfake_video" else []) + RESULT_COLUMNS + task_index = columns.index("task") + task_names = ", ".join(sorted({row[task_index] for row in rows})) + if tasks: + rows = [row for row in rows if row[task_index] in tasks] + total = len(rows) + if total == 0: + hint = f" Tasks: {task_names}" if tasks and task_names else "" + return f"pid {pid} completed. No result rows.{hint}" + if offset >= total: + return f"pid {pid} completed. No rows at offset {offset}; there are {total} rows." + page = rows[offset : offset + limit] + end = offset + len(page) + lines = [ + f"pid {pid} completed. Rows {offset + 1}-{end} of {total}. Tasks: {task_names}", + _tsv(columns), + *(_tsv(row) for row in page), + ] + if end < total: + more = _call("get_result", pid=pid, analysis=analysis, tasks=tasks, offset=end) + lines.append(f"More rows: {more}") + return "\n".join(lines) + + +def _call(tool: str, **args) -> str: + """Formats a tool call for a hint, leaving out args that are None.""" + shown = ", ".join( + f"{name}={json.dumps(value)}" for name, value in args.items() if value is not None + ) + return f"{tool}({shown})" + + +def _tsv(cells: list[str]) -> str: + return "\t".join(cells) + + +def _cell(value) -> str: + """Formats a table cell: None is empty, and tabs and newlines become spaces.""" + if value is None: + return "" + return str(value).replace("\t", " ").replace("\n", " ") diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py new file mode 100644 index 0000000..fc38384 --- /dev/null +++ b/tests/test_mcp_server.py @@ -0,0 +1,203 @@ +import sys +import subprocess + +import pytest +import requests +from mcp import Client + +from behavioralsignals import BehavioralSignalsError, mcp_server +from behavioralsignals.models import ( + ResultItem, + ProcessItem, + ResultResponse, + ModelPredictions, + VideoResultResponse, +) + + +pytestmark = pytest.mark.anyio + + +@pytest.fixture +def anyio_backend(): + return "asyncio" + + +class FakeApi: + """Stands in for Behavioral and Deepfakes: records calls and returns canned responses.""" + + def __init__(self): + self.built = [] # names of the classes the server created + self.calls = [] # (method name, kwargs) + self.responses = {} # method name -> return value, or an exception to raise + + def __enter__(self): + return self + + def __exit__(self, *exc_info): + return None + + def __getattr__(self, name): + if name.startswith("_"): + raise AttributeError(name) + + def method(*args, **kwargs): + self.calls.append((name, kwargs)) + response = self.responses.get(name, ProcessItem(pid=7)) + if isinstance(response, Exception): + raise response + return response + + return method + + +@pytest.fixture +def api(monkeypatch): + fake = FakeApi() + monkeypatch.setattr(mcp_server, "Behavioral", lambda: fake.built.append("Behavioral") or fake) + monkeypatch.setattr(mcp_server, "Deepfakes", lambda: fake.built.append("Deepfakes") or fake) + return fake + + +def item(task, label=None, posterior=None, score=None, start="0.5", end="1.5"): + prediction = [ModelPredictions(label=label, posterior=posterior, score=score)] + return ResultItem( + startTime=start, endTime=end, task=task, finalLabel=label, prediction=prediction + ) + + +def emotions(count): + return ResultResponse(pid=7, results=[item("emotion", "sad", "0.7") for _ in range(count)]) + + +async def call(tool, **args): + async with Client(mcp_server.server) as client: + result = await client.call_tool(tool, args) + return result.is_error, result.content[0].text + + +@pytest.mark.parametrize( + ("analysis", "built", "method"), + [ + ("behavioral", "Behavioral", "wait_for_result"), + ("deepfake_audio", "Deepfakes", "wait_for_result"), + ("deepfake_video", "Deepfakes", "wait_for_video_result"), + ], +) +async def test_get_result_uses_the_api_of_the_analysis(api, analysis, built, method): + api.responses[method] = TimeoutError("still running") + await call("get_result", pid=7, analysis=analysis, wait_seconds=0) + assert api.built == [built] + assert api.calls == [(method, {"pid": 7, "timeout": 0.0})] + + +async def test_formats_labelled_rows_and_drops_the_rest(api): + api.responses["wait_for_result"] = ResultResponse( + pid=7, + results=[ + item("asr", "Hello there."), + item("emotion", "sad", "0.706"), + item("intensity", score="0.62"), + item("features"), + ResultItem(task="language", prediction=[]), + ], + ) + is_error, text = await call("get_result", pid=7, analysis="behavioral") + assert not is_error + assert text == ( + "pid 7 completed. Rows 1-3 of 3. Tasks: asr, emotion, intensity\n" + "start\tend\ttask\tlabel\tconfidence\n" + "0.5\t1.5\tasr\tHello there.\t\n" + "0.5\t1.5\temotion\tsad\t0.706\n" + "0.5\t1.5\tintensity\t0.62\t" + ) + + +async def test_tabs_and_newlines_in_a_cell_become_spaces(api): + api.responses["wait_for_result"] = ResultResponse( + pid=7, results=[item("asr", "Hi\tthere.\nBye.")] + ) + _, text = await call("get_result", pid=7, analysis="behavioral") + assert text.splitlines()[2] == "0.5\t1.5\tasr\tHi there. Bye.\t" + + +async def test_video_rows_have_a_track_column(api): + api.responses["wait_for_video_result"] = VideoResultResponse( + pid=7, + audio_results=[item("deepfake", "bonafide", "0.9")], + video_results=[item("visual_deepfake", "spoofed", "0.8")], + ) + _, text = await call("get_result", pid=7, analysis="deepfake_video") + assert text.splitlines()[1:] == [ + "track\tstart\tend\ttask\tlabel\tconfidence", + "audio\t0.5\t1.5\tdeepfake\tbonafide\t0.9", + "video\t0.5\t1.5\tvisual_deepfake\tspoofed\t0.8", + ] + + +async def test_pages_rows_with_offset_and_limit(api): + api.responses["wait_for_result"] = emotions(5) + _, first = await call("get_result", pid=7, analysis="behavioral", limit=2) + _, last = await call("get_result", pid=7, analysis="behavioral", offset=4) + _, past = await call("get_result", pid=7, analysis="behavioral", offset=5) + assert first.startswith("pid 7 completed. Rows 1-2 of 5.") + assert first.endswith('More rows: get_result(pid=7, analysis="behavioral", offset=2)') + assert last.startswith("pid 7 completed. Rows 5-5 of 5.") and "More rows" not in last + assert past == "pid 7 completed. No rows at offset 5; there are 5 rows." + + +async def test_tasks_filter_keeps_those_tasks_and_the_more_hint_repeats_it(api): + api.responses["wait_for_result"] = ResultResponse( + pid=7, results=[item("asr", "Hi."), item("emotion", "sad"), item("emotion", "happy")] + ) + _, text = await call("get_result", pid=7, analysis="behavioral", tasks=["emotion"], limit=1) + _, none = await call("get_result", pid=7, analysis="behavioral", tasks=["gender"]) + assert text.splitlines()[0] == "pid 7 completed. Rows 1-1 of 2. Tasks: asr, emotion" + assert text.splitlines()[2] == "0.5\t1.5\temotion\tsad\t" + assert text.endswith( + 'More rows: get_result(pid=7, analysis="behavioral", tasks=["emotion"], offset=1)' + ) + assert none == "pid 7 completed. No result rows. Tasks: asr, emotion" + + +async def test_still_processing_returns_the_pid_to_check_later(api): + api.responses["wait_for_video_result"] = TimeoutError("still running") + is_error, text = await call("get_result", pid=9, analysis="deepfake_video", wait_seconds=0) + assert not is_error + assert text == ( + 'pid 9 is still processing. Call get_result(pid=9, analysis="deepfake_video") to wait again.' + ) + + +@pytest.mark.parametrize( + "error", + [ + RuntimeError("Process 7 did not complete: not enough credits"), + BehavioralSignalsError("API Error 404: process not found", status_code=404), + requests.ConnectionError("connection refused"), + ], +) +async def test_errors_reach_the_model(api, error): + api.responses["wait_for_result"] = error + is_error, text = await call("get_result", pid=7, analysis="behavioral") + assert is_error and str(error) in text + + +async def test_missing_credentials_reach_the_model(monkeypatch): + monkeypatch.delenv("BEHAVIORALSIGNALS_CID", raising=False) + monkeypatch.delenv("BEHAVIORALSIGNALS_API_KEY", raising=False) + is_error, text = await call("get_result", pid=7, analysis="behavioral") + assert is_error and "BEHAVIORALSIGNALS_CID" in text + + +def test_sdk_import_does_not_load_mcp(): + code = "import sys, behavioralsignals; assert 'mcp' not in sys.modules" + subprocess.run([sys.executable, "-c", code], check=True) + + +def test_missing_mcp_package_gives_an_install_hint(): + code = "import sys; sys.modules['mcp'] = None; import behavioralsignals.mcp_server" + result = subprocess.run( + [sys.executable, "-c", code], capture_output=True, text=True, check=False + ) + assert "pip install 'behavioralsignals[mcp]'" in result.stderr From 7be894786fd85155009aa7c858d0889f584849d0 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 11:07:47 +0300 Subject: [PATCH 02/17] Add MCP tools to upload audio and video for analysis Co-Authored-By: Claude Opus 5 --- src/behavioralsignals/mcp_server.py | 71 ++++++++++++++++++++++++++++- tests/test_mcp_server.py | 65 ++++++++++++++++++++++++++ 2 files changed, 135 insertions(+), 1 deletion(-) diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py index b09e267..a506767 100644 --- a/src/behavioralsignals/mcp_server.py +++ b/src/behavioralsignals/mcp_server.py @@ -4,9 +4,12 @@ over stdio, so it must never print to stdout. """ +import os import json +import time from typing import Literal, Annotated from contextlib import contextmanager +from urllib.parse import unquote, urlparse from pydantic import Field @@ -22,7 +25,7 @@ ) from error from .base import BehavioralSignalsError -from .models import ResultItem +from .models import ResultItem, ProcessItem from .deepfakes import Deepfakes from .behavioral import Behavioral @@ -46,6 +49,41 @@ ) +@server.tool(structured_output=False) +def analyze_behavior(source: str, wait_seconds: WaitSeconds = DEFAULT_WAIT) -> str: + """Analyzes speech in an audio file: transcript, speakers, language, gender, age, emotion, + positivity, strength, speaking rate, hesitation, engagement and intensity. + + `source` is an absolute path to a local audio file, or an S3 presigned URL. Each call uploads + the audio again and uses credits: to check a job you started, call get_result. If an upload + call failed or timed out, call list_processes before uploading again; the job may have + started. Returns the first rows of the result, or a pid if the job is still processing. + """ + return _upload_and_wait("behavioral", source, wait_seconds) + + +@server.tool(structured_output=False) +def detect_deepfake( + source: str, + media: Literal["audio", "video"] = "audio", + generator_detection: bool = False, + wait_seconds: WaitSeconds = DEFAULT_WAIT, +) -> str: + """Detects whether speech (media="audio") or a video (media="video") is a deepfake. + + `source` is an absolute path to a local file, or an S3 presigned URL. With + generator_detection=True, the result also names the likely generator (experimental). Each + call uploads the file again and uses credits: to check a job you started, call get_result. + If an upload call failed or timed out, call list_processes before uploading again; the job + may have started. Returns the first rows of the result, or a pid if the job is still + processing. + """ + analysis = "deepfake_video" if media == "video" else "deepfake_audio" + return _upload_and_wait( + analysis, source, wait_seconds, enable_generator_detection=generator_detection + ) + + @server.tool(annotations=READ_ONLY, structured_output=False) def get_result( pid: int, @@ -84,6 +122,37 @@ def _tool_errors(): raise ToolError(str(error)) from error +def _upload_and_wait(analysis: str, source: str, wait_seconds: float, **options) -> str: + """Uploads the source, then waits for the result for what is left of wait_seconds.""" + started = time.monotonic() + with _tool_errors(), _api(analysis) as api: + pid = _upload(api, analysis, source, **options).pid + remaining = max(0.0, wait_seconds - (time.monotonic() - started)) + try: + return _result_text(api, analysis, pid, remaining, None, 0, DEFAULT_LIMIT) + except (ValueError, OSError, BehavioralSignalsError) as error: + retry = _call("get_result", pid=pid, analysis=analysis) + raise ToolError( + f"Uploaded as pid {pid}, but getting the result failed: {error}. " + f"Retry with {retry}." + ) from error + + +def _upload(api: Behavioral | Deepfakes, analysis: str, source: str, **options) -> ProcessItem: + """Uploads a local file or an S3 presigned URL and returns the new process.""" + video = analysis == "deepfake_video" + if source.startswith(("http://", "https://")): + upload = api.upload_s3_presigned_video_url if video else api.upload_s3_presigned_url + return upload(url=source, name=_url_file_name(source), **options) + upload = api.upload_video if video else api.upload_audio + return upload(file_path=os.path.expanduser(source), **options) + + +def _url_file_name(url: str) -> str | None: + """Returns the file name in the URL path, leaving out the query (it holds the signature).""" + return unquote(urlparse(url).path.rsplit("/", 1)[-1]) or None + + def _result_text( api: Behavioral | Deepfakes, analysis: str, diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index fc38384..8c5893f 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -1,5 +1,7 @@ +import os import sys import subprocess +from types import SimpleNamespace import pytest import requests @@ -16,6 +18,7 @@ pytestmark = pytest.mark.anyio +HOME_FILE = os.path.expanduser("~/call.wav") @pytest.fixture @@ -201,3 +204,65 @@ def test_missing_mcp_package_gives_an_install_hint(): [sys.executable, "-c", code], capture_output=True, text=True, check=False ) assert "pip install 'behavioralsignals[mcp]'" in result.stderr + + +async def test_analyze_behavior_uploads_a_local_file(api): + api.responses["wait_for_result"] = emotions(1) + _, text = await call("analyze_behavior", source="~/call.wav") + assert api.built == ["Behavioral"] + assert api.calls[0] == ("upload_audio", {"file_path": HOME_FILE}) + assert api.calls[1][0] == "wait_for_result" + assert text.startswith("pid 7 completed. Rows 1-1 of 1.") + + +async def test_url_upload_sends_the_file_name_without_the_query(api): + api.responses["wait_for_result"] = emotions(1) + url = "https://bucket.s3.amazonaws.com/calls/my%20call.wav?X-Amz-Signature=secret" + await call("detect_deepfake", source=url, generator_detection=True) + assert api.built == ["Deepfakes"] + expected = {"url": url, "name": "my call.wav", "enable_generator_detection": True} + assert api.calls[0] == ("upload_s3_presigned_url", expected) + + +async def test_detect_deepfake_video_uses_the_video_methods(api): + api.responses["wait_for_video_result"] = VideoResultResponse(pid=7) + url = "https://bucket.s3.amazonaws.com/clip.mp4?X-Amz-Signature=secret" + await call("detect_deepfake", source="/data/clip.mp4", media="video") + await call("detect_deepfake", source=url, media="video") + assert [name for name, _ in api.calls] == [ + "upload_video", + "wait_for_video_result", + "upload_s3_presigned_video_url", + "wait_for_video_result", + ] + assert api.calls[0][1] == {"file_path": "/data/clip.mp4", "enable_generator_detection": False} + + +@pytest.mark.parametrize(("upload_seconds", "left"), [(10.0, 35.0), (60.0, 0.0)]) +async def test_upload_time_counts_toward_wait_seconds(api, monkeypatch, upload_seconds, left): + clock = iter([0.0, upload_seconds]) + monkeypatch.setattr(mcp_server, "time", SimpleNamespace(monotonic=lambda: next(clock))) + api.responses["wait_for_result"] = emotions(1) + await call("analyze_behavior", source="/data/call.wav", wait_seconds=45) + assert api.calls[1] == ("wait_for_result", {"pid": 7, "timeout": left}) + + +async def test_error_after_upload_keeps_the_pid(api): + api.responses["wait_for_result"] = requests.ConnectionError("connection reset") + is_error, text = await call("analyze_behavior", source="/data/call.wav") + assert is_error + assert "Uploaded as pid 7, but getting the result failed: connection reset." in text + assert 'Retry with get_result(pid=7, analysis="behavioral").' in text + + +async def test_failed_job_after_upload_is_not_retried(api): + api.responses["wait_for_result"] = RuntimeError("Process 7 did not complete: bad audio") + is_error, text = await call("analyze_behavior", source="/data/call.wav") + assert is_error and "Process 7 did not complete: bad audio" in text + assert "Retry" not in text + + +async def test_upload_error_reaches_the_model(api): + api.responses["upload_audio"] = FileNotFoundError("No such file: '/data/missing.wav'") + is_error, text = await call("analyze_behavior", source="/data/missing.wav") + assert is_error and "No such file" in text and "Uploaded" not in text From 026972c2e2ed7a60ac3ccd417c7342abe2b78280 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 11:14:33 +0300 Subject: [PATCH 03/17] Add an MCP tool to list processes with failure reasons Co-Authored-By: Claude Opus 5 --- src/behavioralsignals/mcp_server.py | 60 ++++++++++++++++++++++++++++- tests/test_mcp_server.py | 57 +++++++++++++++++++++++++++ 2 files changed, 116 insertions(+), 1 deletion(-) diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py index a506767..268fb51 100644 --- a/src/behavioralsignals/mcp_server.py +++ b/src/behavioralsignals/mcp_server.py @@ -25,7 +25,7 @@ ) from error from .base import BehavioralSignalsError -from .models import ResultItem, ProcessItem +from .models import ResultItem, ProcessItem, ProcessStatus from .deepfakes import Deepfakes from .behavioral import Behavioral @@ -36,6 +36,7 @@ DEFAULT_WAIT = 45 DEFAULT_LIMIT = 300 RESULT_COLUMNS = ["start", "end", "task", "label", "confidence"] +PROCESS_COLUMNS = ["pid", "name", "status", "duration", "created", "reason"] READ_ONLY = ToolAnnotations(read_only_hint=True) server = MCPServer( @@ -103,6 +104,46 @@ def get_result( return _result_text(api, analysis, pid, wait_seconds, tasks, offset, limit) +@server.tool(annotations=READ_ONLY, structured_output=False) +def list_processes( + analysis: Analysis, + page: Annotated[int, Field(ge=0)] = 0, + page_size: Annotated[int, Field(ge=1, le=1000)] = 50, + sort: Literal["asc", "desc"] = "desc", + start_date: str | None = None, + end_date: str | None = None, +) -> str: + """Lists your jobs of one kind, newest first by default, with why a job failed. + + `analysis` is "behavioral", "deepfake_audio" or "deepfake_video". `start_date` and + `end_date` are dates in YYYY-MM-DD format. + """ + with _tool_errors(), _api(analysis) as api: + list_method = ( + api.list_video_processes if analysis == "deepfake_video" else api.list_processes + ) + processes = list( + list_method( + page=page, page_size=page_size, sort=sort, start_date=start_date, end_date=end_date + ) + ) + if not processes: + return "No processes found." + lines = [_tsv(PROCESS_COLUMNS), *(_tsv(_process_row(process)) for process in processes)] + if len(processes) == page_size: + more = _call( + "list_processes", + analysis=analysis, + page=page + 1, + page_size=page_size, + sort=sort, + start_date=start_date, + end_date=end_date, + ) + lines.append(f"More: {more}") + return "\n".join(lines) + + def main(): """Runs the MCP server over stdio.""" server.run() @@ -229,6 +270,23 @@ def _format_result( return "\n".join(lines) +def _process_row(process: ProcessItem) -> list[str]: + """Returns the process as a row; the reason is shown only for failed processes.""" + failed = process.status is not None and process.status < 0 + reason = process.statusmsg if failed else None + status = _status_name(process.status) + values = (process.pid, process.name, status, process.duration, process.datetime, reason) + return [_cell(value) for value in values] + + +def _status_name(status: int | None) -> str | int | None: + """Returns the status name in lower case, or the number if it is not a known status.""" + try: + return ProcessStatus(status).name.lower() + except ValueError: + return status + + def _call(tool: str, **args) -> str: """Formats a tool call for a hint, leaving out args that are None.""" shown = ", ".join( diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index 8c5893f..700b250 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -2,6 +2,7 @@ import sys import subprocess from types import SimpleNamespace +from datetime import datetime import pytest import requests @@ -13,6 +14,7 @@ ProcessItem, ResultResponse, ModelPredictions, + ProcessListResponse, VideoResultResponse, ) @@ -266,3 +268,58 @@ async def test_upload_error_reaches_the_model(api): api.responses["upload_audio"] = FileNotFoundError("No such file: '/data/missing.wav'") is_error, text = await call("analyze_behavior", source="/data/missing.wav") assert is_error and "No such file" in text and "Uploaded" not in text + + +async def test_lists_the_four_tools_and_marks_read_only_ones(): + async with Client(mcp_server.server) as client: + tools = {tool.name: tool for tool in (await client.list_tools()).tools} + assert set(tools) == {"analyze_behavior", "detect_deepfake", "get_result", "list_processes"} + read_only = { + name for name, tool in tools.items() if tool.annotations and tool.annotations.read_only_hint + } + assert read_only == {"get_result", "list_processes"} + + +async def test_list_processes_shows_status_names_and_failure_reasons(api): + created = datetime(2026, 9, 20, 10, 11, 12) + api.responses["list_processes"] = ProcessListResponse( + processes=[ + ProcessItem( + pid=1, name="a.wav", status=2, statusmsg="done", duration=1.5, datetime=created + ), + ProcessItem(pid=2, name="b.wav", status=-1, statusmsg="bad audio"), + ProcessItem(pid=3, status=5), + ] + ) + _, text = await call( + "list_processes", analysis="behavioral", page_size=3, start_date="2026-09-01" + ) + assert api.calls == [ + ( + "list_processes", + { + "page": 0, + "page_size": 3, + "sort": "desc", + "start_date": "2026-09-01", + "end_date": None, + }, + ) + ] + assert text.splitlines() == [ + "pid\tname\tstatus\tduration\tcreated\treason", + "1\ta.wav\tcompleted\t1.5\t2026-09-20 10:11:12\t", + "2\tb.wav\tfailed\t\t\tbad audio", + "3\t\t5\t\t\t", + ( + 'More: list_processes(analysis="behavioral", page=1, page_size=3, sort="desc", ' + 'start_date="2026-09-01")' + ), + ] + + +async def test_list_processes_uses_the_video_list_for_video(api): + api.responses["list_video_processes"] = ProcessListResponse(processes=[]) + _, text = await call("list_processes", analysis="deepfake_video") + assert api.built == ["Deepfakes"] and api.calls[0][0] == "list_video_processes" + assert text == "No processes found." From bdf9e58d4ba529e705c9cc4137bb4a5bab6c0440 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 11:18:50 +0300 Subject: [PATCH 04/17] Add AGENTS.md and CLAUDE.md for coding agents Co-Authored-By: Claude Opus 5 --- AGENTS.md | 39 +++++++++++++++++++++++++++++++++++++++ CLAUDE.md | 1 + 2 files changed, 40 insertions(+) create mode 100644 AGENTS.md create mode 100644 CLAUDE.md diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..629b5ee --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,39 @@ +# AGENTS.md + +Python SDK for the [Behavioral Signals API](https://behavioralsignals.readme.io/): voice behavior +analysis and audio/video deepfake detection, plus an optional MCP server. Setup, code style and +pull request steps are in [CONTRIBUTING.md](CONTRIBUTING.md). + +## Map + +- `src/behavioralsignals/client.py`: `Client`, which holds the `behavioral` and `deepfakes` clients. +- `src/behavioralsignals/behavioral.py`, `deepfakes.py`: the two APIs. `base.py`: HTTP requests, + errors, `wait_for_result` and the gRPC channel. +- `src/behavioralsignals/models.py`: pydantic models of requests and responses. + `configuration.py`: API URLs and timeouts. +- `src/behavioralsignals/mcp_server.py`: the MCP server (`behavioralsignals-mcp`). +- `src/behavioralsignals/generated/`: gRPC code generated from `protos/api.proto`. +- `examples/`: batch and streaming scripts. `tests/`: pytest tests. + +## Commands + +```bash +uv pip install -e ".[dev]" # in a venv, see CONTRIBUTING.md +pytest +ruff check +ruff format +``` + +CI runs `ruff check`, `ruff format --check` and `pytest` on Python 3.10 to 3.13. + +## Rules + +- Support Python 3.10: no newer syntax or modules. +- `Behavioral` and `Deepfakes` repeat the audio methods; change both. +- Don't edit `generated/` by hand; regenerate it (see CONTRIBUTING.md). +- Tests never call the API and need no credentials. Fake HTTP as `tests/test_client.py` does. +- `mcp` is an optional extra: never import `mcp_server` from `__init__.py`. +- `mcp_server.py` must never print to stdout; stdout carries the MCP protocol. +- When a public method changes, update the README method table, `examples/`, and the MCP tools + and README MCP section if they use it. +- Never commit credentials. diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..43c994c --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md From 4af246ff38d1fc58e5c9f7a2d955fb7230c2387c Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 11:19:21 +0300 Subject: [PATCH 05/17] Document the MCP server in the README Co-Authored-By: Claude Opus 5 --- README.md | 64 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 64 insertions(+) diff --git a/README.md b/README.md index cb33628..24cb6c9 100644 --- a/README.md +++ b/README.md @@ -36,6 +36,7 @@ See the [API documentation](https://behavioralsignals.readme.io/) for details. I * [Deepfakes API Streaming Mode](#deepfakes-api-streaming-mode) * [Available Methods](#available-methods) * [Error Handling](#error-handling) + * [Use with AI assistants (MCP)](#use-with-ai-assistants-mcp) ## Features @@ -50,6 +51,8 @@ See the [API documentation](https://behavioralsignals.readme.io/) for details. I - Speaker Diarization - Language Identification +- **MCP server**: Let AI assistants such as Claude and Cursor analyze files for you. See [Use with AI assistants (MCP)](#use-with-ai-assistants-mcp). + ## Requirements * `Python3.10+`, @@ -298,3 +301,64 @@ except BehavioralSignalsError as error: `BehavioralSignalsError` is a subclass of `Exception`, so code that catches `Exception` keeps working. Network problems raise the usual `requests` exceptions, such as `requests.ConnectionError`. + +## Use with AI assistants (MCP) + +The SDK includes an [MCP](https://modelcontextprotocol.io/) server (available since version 0.7.0), so AI assistants such as Claude Code, Claude Desktop and Cursor can analyze audio and video files for you. +With [uv](https://docs.astral.sh/uv/) installed, you can run it without installing anything else: + +```bash +uvx --from "behavioralsignals[mcp]" behavioralsignals-mcp +``` + +Or install it with pip and run `behavioralsignals-mcp`: + +```bash +pip install "behavioralsignals[mcp]" +``` + +The server reads your credentials from `BEHAVIORALSIGNALS_CID` and `BEHAVIORALSIGNALS_API_KEY` (see [API Key Setup](#api-key-setup)). +Your assistant starts the server, so set them in the assistant's config, as shown below. + +**Claude Code.** With the two variables set in your shell, run: + +```bash +claude mcp add --env BEHAVIORALSIGNALS_CID="$BEHAVIORALSIGNALS_CID" \ + --env BEHAVIORALSIGNALS_API_KEY="$BEHAVIORALSIGNALS_API_KEY" --transport stdio \ + behavioralsignals -- uvx --from "behavioralsignals[mcp]" behavioralsignals-mcp +``` + +This adds the server for you in the current project only. Your key stays out of your shell history and out of the repository. + +**Claude Desktop and Cursor.** Add this to `claude_desktop_config.json` (in Claude Desktop, Settings > Developer > Edit Config) or to `~/.cursor/mcp.json`: + +```json +{ + "mcpServers": { + "behavioralsignals": { + "command": "uvx", + "args": ["--from", "behavioralsignals[mcp]", "behavioralsignals-mcp"], + "env": { + "BEHAVIORALSIGNALS_CID": "your_cid", + "BEHAVIORALSIGNALS_API_KEY": "your_api_key" + } + } + } +} +``` + +If the app cannot find `uvx`, use its full path (run `which uvx` to find it). + +The server has 4 tools: + +| Tool | What it does | +|---|---| +| `analyze_behavior` | Uploads an audio file or S3 presigned URL for behavioral analysis and returns the results | +| `detect_deepfake` | Uploads an audio or video file, or an S3 presigned URL, for deepfake detection and returns the results | +| `get_result` | Returns the results of a process, in pages, optionally only for some tasks | +| `list_processes` | Lists your processes, newest first, with the reason when one failed | + +Notes: +* Each upload uses credits, and the files you name are sent to the Behavioral Signals API. +* The upload tools wait up to `wait_seconds` (45 by default). If processing takes longer, they return the process ID, and the assistant checks it later with `get_result`. +* Don't commit config files that contain your API key. From 5ef969756fc3208f260b8aa0ec6d9a0e19b39ce7 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 11:24:37 +0300 Subject: [PATCH 06/17] Fix where AGENTS.md says wait_for_result lives Co-Authored-By: Claude Opus 5 --- AGENTS.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/AGENTS.md b/AGENTS.md index 629b5ee..b315f1e 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -8,7 +8,7 @@ pull request steps are in [CONTRIBUTING.md](CONTRIBUTING.md). - `src/behavioralsignals/client.py`: `Client`, which holds the `behavioral` and `deepfakes` clients. - `src/behavioralsignals/behavioral.py`, `deepfakes.py`: the two APIs. `base.py`: HTTP requests, - errors, `wait_for_result` and the gRPC channel. + errors, the wait loop behind `wait_for_result`, and the gRPC channel. - `src/behavioralsignals/models.py`: pydantic models of requests and responses. `configuration.py`: API URLs and timeouts. - `src/behavioralsignals/mcp_server.py`: the MCP server (`behavioralsignals-mcp`). From 15fde748a015b2ae1f98d89286e3daffa22f88fe Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 11:32:10 +0300 Subject: [PATCH 07/17] Say in AGENTS.md that MCP tool changes need doc updates too Co-Authored-By: Claude Opus 5 --- AGENTS.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/AGENTS.md b/AGENTS.md index b315f1e..45bef2f 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -34,6 +34,6 @@ CI runs `ruff check`, `ruff format --check` and `pytest` on Python 3.10 to 3.13. - Tests never call the API and need no credentials. Fake HTTP as `tests/test_client.py` does. - `mcp` is an optional extra: never import `mcp_server` from `__init__.py`. - `mcp_server.py` must never print to stdout; stdout carries the MCP protocol. -- When a public method changes, update the README method table, `examples/`, and the MCP tools - and README MCP section if they use it. +- When a public method or MCP tool changes, update the README method table, `examples/`, and + the MCP tools and README MCP section if they use it. - Never commit credentials. From bda78691f407c5e89531c00b1731483d3c323322 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 13:09:04 +0300 Subject: [PATCH 08/17] Show only the first line of a failed job's reason in list_processes Co-Authored-By: Claude Opus 5 --- src/behavioralsignals/mcp_server.py | 4 ++-- tests/test_mcp_server.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py index 268fb51..fd6364c 100644 --- a/src/behavioralsignals/mcp_server.py +++ b/src/behavioralsignals/mcp_server.py @@ -271,9 +271,9 @@ def _format_result( def _process_row(process: ProcessItem) -> list[str]: - """Returns the process as a row; the reason is shown only for failed processes.""" + """Returns the process as a row; the reason's first line is shown only for failed processes.""" failed = process.status is not None and process.status < 0 - reason = process.statusmsg if failed else None + reason = process.statusmsg.splitlines()[0] if failed and process.statusmsg else None status = _status_name(process.status) values = (process.pid, process.name, status, process.duration, process.datetime, reason) return [_cell(value) for value in values] diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index 700b250..322dbb8 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -287,7 +287,7 @@ async def test_list_processes_shows_status_names_and_failure_reasons(api): ProcessItem( pid=1, name="a.wav", status=2, statusmsg="done", duration=1.5, datetime=created ), - ProcessItem(pid=2, name="b.wav", status=-1, statusmsg="bad audio"), + ProcessItem(pid=2, name="b.wav", status=-1, statusmsg="bad audio\n\nffmpeg log"), ProcessItem(pid=3, status=5), ] ) From 772d84ce71af530ffefc3ccce18db3af768d97dd Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 13:09:04 +0300 Subject: [PATCH 09/17] Say that end_date is not included when listing processes Co-Authored-By: Claude Opus 5 --- src/behavioralsignals/behavioral.py | 2 +- src/behavioralsignals/deepfakes.py | 4 ++-- src/behavioralsignals/mcp_server.py | 3 ++- src/behavioralsignals/models.py | 2 +- 4 files changed, 6 insertions(+), 5 deletions(-) diff --git a/src/behavioralsignals/behavioral.py b/src/behavioralsignals/behavioral.py index 5880a44..ea710a0 100644 --- a/src/behavioralsignals/behavioral.py +++ b/src/behavioralsignals/behavioral.py @@ -113,7 +113,7 @@ def list_processes( page_size (int): Number of processes per page (default is 1000). sort (str): Sort order for the processes, should be "asc" or "desc". Defaults to "asc". start_date (str, optional: Filter processes created on or after this date (YYYY-MM-DD). - end_date (str, optional): Filter processes created on or before this date (YYYY-MM-DD). + end_date (str, optional): Filter processes created before this date (YYYY-MM-DD). Returns: ProcessListResponse: A list of processes associated with the user. """ diff --git a/src/behavioralsignals/deepfakes.py b/src/behavioralsignals/deepfakes.py index b575a5e..2e97fb6 100644 --- a/src/behavioralsignals/deepfakes.py +++ b/src/behavioralsignals/deepfakes.py @@ -139,7 +139,7 @@ def list_processes( page_size (int): Number of processes per page (default is 1000). sort (str): Sort order for the processes, should be "asc" or "desc". Defaults to "asc". start_date (str, optional: Filter processes created on or after this date (YYYY-MM-DD). - end_date (str, optional): Filter processes created on or before this date (YYYY-MM-DD). + end_date (str, optional): Filter processes created before this date (YYYY-MM-DD). Returns: ProcessListResponse: A list of processes associated with the user. """ @@ -324,7 +324,7 @@ def list_video_processes( page_size (int): Number of processes per page (default is 1000). sort (str): Sort order for the processes, should be "asc" or "desc". Defaults to "asc". start_date (str, optional: Filter processes created on or after this date (YYYY-MM-DD). - end_date (str, optional): Filter processes created on or before this date (YYYY-MM-DD). + end_date (str, optional): Filter processes created before this date (YYYY-MM-DD). Returns: ProcessListResponse: A list of video processes associated with the user. """ diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py index fd6364c..a3da1a0 100644 --- a/src/behavioralsignals/mcp_server.py +++ b/src/behavioralsignals/mcp_server.py @@ -116,7 +116,8 @@ def list_processes( """Lists your jobs of one kind, newest first by default, with why a job failed. `analysis` is "behavioral", "deepfake_audio" or "deepfake_video". `start_date` and - `end_date` are dates in YYYY-MM-DD format. + `end_date` are dates in YYYY-MM-DD format. `end_date` itself is not included: for jobs from + one day, pass the next day as `end_date`. """ with _tool_errors(), _api(analysis) as api: list_method = ( diff --git a/src/behavioralsignals/models.py b/src/behavioralsignals/models.py index 1481427..b2ab587 100644 --- a/src/behavioralsignals/models.py +++ b/src/behavioralsignals/models.py @@ -166,7 +166,7 @@ class ProcessListParams(BaseModel): end_date: date | None = Field( None, alias="endDate", - description="Filter processes created on or before this date (YYYY-MM-DD)", + description="Filter processes created before this date (YYYY-MM-DD)", ) From 1b27f087c160436d3d1f7105f60c600fc7e2ee99 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 13:42:20 +0300 Subject: [PATCH 10/17] Update uv.lock for the mcp extra and version 0.7.0 Co-Authored-By: Claude Opus 5 --- uv.lock | 720 +++++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 716 insertions(+), 4 deletions(-) diff --git a/uv.lock b/uv.lock index 5473d0e..0ac4516 100644 --- a/uv.lock +++ b/uv.lock @@ -2,8 +2,11 @@ version = 1 revision = 3 requires-python = ">=3.10" resolution-markers = [ - "python_full_version >= '3.13'", - "python_full_version < '3.13'", + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version == '3.12.*' and sys_platform == 'emscripten'", + "(python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'emscripten') or (python_full_version == '3.11.*' and sys_platform == 'emscripten')", + "python_full_version < '3.11'", ] [[package]] @@ -15,6 +18,29 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/99/91/8acff4f5e50511b911bbccb72b8628a49c68ce14148cd9f6431094859a90/annotated_types-0.8.0-py3-none-any.whl", hash = "sha256:f072f4d804ea359e4eaf198b1af7a8b0943881a87f31bb764f8bf219bb9419e0", size = 13427, upload-time = "2026-07-23T20:16:12.938Z" }, ] +[[package]] +name = "anyio" +version = "4.15.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, 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"sha256:e8dca71ec86dce5f04e333f0d56cdedf942446e6643b9cea1af0d6d3a02cb03e", size = 87081, upload-time = "2026-09-14T07:44:22.179Z" }, +] From becfbbdc68cf38ad36275c6bab4f2081482fb545 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 13:42:47 +0300 Subject: [PATCH 11/17] Use the uv commands from CONTRIBUTING.md in AGENTS.md Co-Authored-By: Claude Opus 5 --- AGENTS.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/AGENTS.md b/AGENTS.md index 45bef2f..56766ad 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -18,10 +18,10 @@ pull request steps are in [CONTRIBUTING.md](CONTRIBUTING.md). ## Commands ```bash -uv pip install -e ".[dev]" # in a venv, see CONTRIBUTING.md -pytest -ruff check -ruff format +uv sync -p 3.10 --extra dev # see CONTRIBUTING.md +uv run pytest +uv run ruff check +uv run ruff format ``` CI runs `ruff check`, `ruff format --check` and `pytest` on Python 3.10 to 3.13. @@ -29,6 +29,7 @@ CI runs `ruff check`, `ruff format --check` and `pytest` on Python 3.10 to 3.13. ## Rules - Support Python 3.10: no newer syntax or modules. +- If you change `pyproject.toml`, run `uv lock` and commit `uv.lock`; CI fails otherwise. - `Behavioral` and `Deepfakes` repeat the audio methods; change both. - Don't edit `generated/` by hand; regenerate it (see CONTRIBUTING.md). - Tests never call the API and need no credentials. Fake HTTP as `tests/test_client.py` does. From 0ee24ce62bf436bca3f9604475db16d8ebc9128b Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 16:49:04 +0300 Subject: [PATCH 12/17] Show only the first line of a failed job's reason in get_result The reason can end with a long ffmpeg log. This also applies to the upload tools, which wait for the result the same way. Co-Authored-By: Claude Opus 5 --- src/behavioralsignals/mcp_server.py | 3 +++ tests/test_mcp_server.py | 14 ++++++++++++++ 2 files changed, 17 insertions(+) diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py index a3da1a0..6adf903 100644 --- a/src/behavioralsignals/mcp_server.py +++ b/src/behavioralsignals/mcp_server.py @@ -211,6 +211,9 @@ def _result_text( except TimeoutError: retry = _call("get_result", pid=pid, analysis=analysis) return f"pid {pid} is still processing. Call {retry} to wait again." + except RuntimeError as error: + # The job failed. Keep the reason's first line; a long ffmpeg log can follow it. + raise ToolError(str(error).splitlines()[0]) from error return _format_result(pid, analysis, _result_rows(result, analysis), tasks, offset, limit) diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index 322dbb8..14c6284 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -188,6 +188,20 @@ async def test_errors_reach_the_model(api, error): assert is_error and str(error) in text +@pytest.mark.parametrize( + ("tool", "args"), + [ + ("get_result", {"pid": 7, "analysis": "behavioral"}), + ("analyze_behavior", {"source": "/data/call.wav"}), + ], +) +async def test_failed_job_shows_only_the_first_line_of_its_reason(api, tool, args): + reason = "Process 7 did not complete: bad audio\n\nffmpeg log" + api.responses["wait_for_result"] = RuntimeError(reason) + is_error, text = await call(tool, **args) + assert is_error and text.endswith("Process 7 did not complete: bad audio") + + async def test_missing_credentials_reach_the_model(monkeypatch): monkeypatch.delenv("BEHAVIORALSIGNALS_CID", raising=False) monkeypatch.delenv("BEHAVIORALSIGNALS_API_KEY", raising=False) From 77cab43264c77ab408f45ba4b5ecd5b969834bed Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 16:49:15 +0300 Subject: [PATCH 13/17] Cap wait_seconds at 50 so tool calls end before client timeouts Clients built on the MCP TypeScript SDK cancel a tool call after 60 seconds by default. Co-Authored-By: Claude Opus 5 --- README.md | 2 +- src/behavioralsignals/mcp_server.py | 3 ++- tests/test_mcp_server.py | 6 ++++++ 3 files changed, 9 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0b4b7cf..535c88c 100644 --- a/README.md +++ b/README.md @@ -365,5 +365,5 @@ The server has 4 tools: Notes: * Each upload uses credits, and the files you name are sent to the Behavioral Signals API. -* The upload tools wait up to `wait_seconds` (45 by default). If processing takes longer, they return the process ID, and the assistant checks it later with `get_result`. +* The upload tools wait up to `wait_seconds` (45 by default, 50 at most). If processing takes longer, they return the process ID, and the assistant checks it later with `get_result`. * Don't commit config files that contain your API key. diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py index 6adf903..555f2c0 100644 --- a/src/behavioralsignals/mcp_server.py +++ b/src/behavioralsignals/mcp_server.py @@ -31,7 +31,8 @@ Analysis = Literal["behavioral", "deepfake_audio", "deepfake_video"] -WaitSeconds = Annotated[float, Field(ge=0)] +# Clients built on the MCP TypeScript SDK cancel a tool call after 60 seconds by default. +WaitSeconds = Annotated[float, Field(ge=0, le=50)] DEFAULT_WAIT = 45 DEFAULT_LIMIT = 300 diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index 14c6284..a847ad2 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -202,6 +202,12 @@ async def test_failed_job_shows_only_the_first_line_of_its_reason(api, tool, arg assert is_error and text.endswith("Process 7 did not complete: bad audio") +async def test_wait_seconds_stays_below_client_timeouts(api): + is_error, text = await call("get_result", pid=7, analysis="behavioral", wait_seconds=51) + assert is_error and "less than or equal to 50" in text + assert api.calls == [] + + async def test_missing_credentials_reach_the_model(monkeypatch): monkeypatch.delenv("BEHAVIORALSIGNALS_CID", raising=False) monkeypatch.delenv("BEHAVIORALSIGNALS_API_KEY", raising=False) From a8da1137543bb38af42a31c9d2be613d4d8bd856 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 16:49:19 +0300 Subject: [PATCH 14/17] Label the list_processes hint "Next page" The API gives no total, so a full page may be the last one. Co-Authored-By: Claude Opus 5 --- src/behavioralsignals/mcp_server.py | 2 +- tests/test_mcp_server.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py index 555f2c0..8b2d7e7 100644 --- a/src/behavioralsignals/mcp_server.py +++ b/src/behavioralsignals/mcp_server.py @@ -142,7 +142,7 @@ def list_processes( start_date=start_date, end_date=end_date, ) - lines.append(f"More: {more}") + lines.append(f"Next page: {more}") return "\n".join(lines) diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index a847ad2..5686e91 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -332,7 +332,7 @@ async def test_list_processes_shows_status_names_and_failure_reasons(api): "2\tb.wav\tfailed\t\t\tbad audio", "3\t\t5\t\t\t", ( - 'More: list_processes(analysis="behavioral", page=1, page_size=3, sort="desc", ' + 'Next page: list_processes(analysis="behavioral", page=1, page_size=3, sort="desc", ' 'start_date="2026-09-01")' ), ] From 1898e023e37054d8fde37e1bea86e5ac285152e2 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 18:00:37 +0300 Subject: [PATCH 15/17] Fix mypy errors in the MCP server Video jobs always get a Deepfakes client from _api, which mypy can't see, so ignore union-attr on the three lines that call video methods. Co-Authored-By: Claude Opus 5 --- src/behavioralsignals/mcp_server.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/src/behavioralsignals/mcp_server.py b/src/behavioralsignals/mcp_server.py index 8b2d7e7..5b87b1c 100644 --- a/src/behavioralsignals/mcp_server.py +++ b/src/behavioralsignals/mcp_server.py @@ -185,9 +185,9 @@ def _upload(api: Behavioral | Deepfakes, analysis: str, source: str, **options) """Uploads a local file or an S3 presigned URL and returns the new process.""" video = analysis == "deepfake_video" if source.startswith(("http://", "https://")): - upload = api.upload_s3_presigned_video_url if video else api.upload_s3_presigned_url + upload = api.upload_s3_presigned_video_url if video else api.upload_s3_presigned_url # type: ignore[union-attr] return upload(url=source, name=_url_file_name(source), **options) - upload = api.upload_video if video else api.upload_audio + upload = api.upload_video if video else api.upload_audio # type: ignore[union-attr] return upload(file_path=os.path.expanduser(source), **options) @@ -206,7 +206,7 @@ def _result_text( limit: int, ) -> str: """Waits up to wait_seconds for the result and formats one page of it.""" - wait = api.wait_for_video_result if analysis == "deepfake_video" else api.wait_for_result + wait = api.wait_for_video_result if analysis == "deepfake_video" else api.wait_for_result # type: ignore[union-attr] try: result = wait(pid=pid, timeout=wait_seconds) except TimeoutError: @@ -286,6 +286,8 @@ def _process_row(process: ProcessItem) -> list[str]: def _status_name(status: int | None) -> str | int | None: """Returns the status name in lower case, or the number if it is not a known status.""" + if status is None: + return None try: return ProcessStatus(status).name.lower() except ValueError: From bba601cdc9b3f16c37fb6fb8c0d2e56a4523f026 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Mon, 21 Sep 2026 18:00:45 +0300 Subject: [PATCH 16/17] Add mypy and main's new CI checks to AGENTS.md Co-Authored-By: Claude Opus 5 --- AGENTS.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/AGENTS.md b/AGENTS.md index 56766ad..da13477 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -22,9 +22,11 @@ uv sync -p 3.10 --extra dev # see CONTRIBUTING.md uv run pytest uv run ruff check uv run ruff format +uv run mypy src ``` -CI runs `ruff check`, `ruff format --check` and `pytest` on Python 3.10 to 3.13. +CI runs `ruff check`, `ruff format --check`, `mypy src` and `pytest` on Python 3.10 to 3.13. It +also runs the tests with the lowest versions allowed in `pyproject.toml`, and needs 90% coverage. ## Rules From 9b0ccecab3120916799a62c0736f0de35f0d18e1 Mon Sep 17 00:00:00 2001 From: dimitris_sgou Date: Tue, 22 Sep 2026 14:19:34 +0300 Subject: [PATCH 17/17] Address README review: uvx --python ">=3.10", Codex setup, manual run section - Pass --python ">=3.10" to uvx; it fails when the default Python is older. ">=3.10" uses any installed newer Python; "3.10" would download 3.10. - Add Codex setup with codex mcp add. - Move the uvx and pip run commands to "Running the MCP server manually" at the end; the assistant setups don't need them. Co-Authored-By: Claude Opus 5 --- README.md | 43 +++++++++++++++++++++++++++++-------------- 1 file changed, 29 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index 2555d19..cd7b245 100644 --- a/README.md +++ b/README.md @@ -44,6 +44,7 @@ See the [API documentation](https://behavioralsignals.readme.io/) for details. I * [Available Methods](#available-methods) * [Error Handling](#error-handling) * [Use with AI assistants (MCP)](#use-with-ai-assistants-mcp) + * [Running the MCP server manually](#running-the-mcp-server-manually) ## Features @@ -311,18 +312,8 @@ Network problems raise the usual `requests` exceptions, such as `requests.Connec ## Use with AI assistants (MCP) -The SDK includes an [MCP](https://modelcontextprotocol.io/) server (available since version 0.7.0), so AI assistants such as Claude Code, Claude Desktop and Cursor can analyze audio and video files for you. -With [uv](https://docs.astral.sh/uv/) installed, you can run it without installing anything else: - -```bash -uvx --from "behavioralsignals[mcp]" behavioralsignals-mcp -``` - -Or install it with pip and run `behavioralsignals-mcp`: - -```bash -pip install "behavioralsignals[mcp]" -``` +The SDK includes an [MCP](https://modelcontextprotocol.io/) server (available since version 0.7.0), so AI assistants such as Claude Code, Codex, Claude Desktop and Cursor can analyze audio and video files for you. +The setups below start the server with `uvx`, so install [uv](https://docs.astral.sh/uv/) first. The server reads your credentials from `BEHAVIORALSIGNALS_CID` and `BEHAVIORALSIGNALS_API_KEY` (see [API Key Setup](#api-key-setup)). Your assistant starts the server, so set them in the assistant's config, as shown below. @@ -332,11 +323,21 @@ Your assistant starts the server, so set them in the assistant's config, as show ```bash claude mcp add --env BEHAVIORALSIGNALS_CID="$BEHAVIORALSIGNALS_CID" \ --env BEHAVIORALSIGNALS_API_KEY="$BEHAVIORALSIGNALS_API_KEY" --transport stdio \ - behavioralsignals -- uvx --from "behavioralsignals[mcp]" behavioralsignals-mcp + behavioralsignals -- uvx --python ">=3.10" --from "behavioralsignals[mcp]" behavioralsignals-mcp ``` This adds the server for you in the current project only. Your key stays out of your shell history and out of the repository. +**Codex.** With the two variables set in your shell, run: + +```bash +codex mcp add behavioralsignals --env BEHAVIORALSIGNALS_CID="$BEHAVIORALSIGNALS_CID" \ + --env BEHAVIORALSIGNALS_API_KEY="$BEHAVIORALSIGNALS_API_KEY" \ + -- uvx --python ">=3.10" --from "behavioralsignals[mcp]" behavioralsignals-mcp +``` + +This adds the server for all your projects, in `~/.codex/config.toml`. + **Claude Desktop and Cursor.** Add this to `claude_desktop_config.json` (in Claude Desktop, Settings > Developer > Edit Config) or to `~/.cursor/mcp.json`: ```json @@ -344,7 +345,7 @@ This adds the server for you in the current project only. Your key stays out of "mcpServers": { "behavioralsignals": { "command": "uvx", - "args": ["--from", "behavioralsignals[mcp]", "behavioralsignals-mcp"], + "args": ["--python", ">=3.10", "--from", "behavioralsignals[mcp]", "behavioralsignals-mcp"], "env": { "BEHAVIORALSIGNALS_CID": "your_cid", "BEHAVIORALSIGNALS_API_KEY": "your_api_key" @@ -369,3 +370,17 @@ Notes: * Each upload uses credits, and the files you name are sent to the Behavioral Signals API. * The upload tools wait up to `wait_seconds` (45 by default, 50 at most). If processing takes longer, they return the process ID, and the assistant checks it later with `get_result`. * Don't commit config files that contain your API key. + +### Running the MCP server manually + +With uv installed, you can run it without installing anything else: + +```bash +uvx --python ">=3.10" --from "behavioralsignals[mcp]" behavioralsignals-mcp +``` + +Or install it with pip and run `behavioralsignals-mcp`: + +```bash +pip install "behavioralsignals[mcp]" +```