RunAPI Kling MCP Server

Kling API access for AI agents: run video generation operations, poll asynchronous results, and check pricing through one focused MCP server.

_{Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.}

Install | Tools | Models | Agent Prompts | Configuration | Links

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Why This Package?

@runapi.ai/kling-mcp is a focused Model Context Protocol server for the Kling model line on RunAPI. It gives MCP-compatible assistants direct access to 6 endpoints and 16 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Kling. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.

kling-ai-avatar-v1-pro was retired on 2026-10-14T00:00:00Z. New requests return HTTP 410 before task creation or balance deduction. Existing tasks can still be queried. This model ID is not mapped to another model.

kling-v1-avatar-standard was retired on 2026-10-14T00:00:00Z. New requests return HTTP 410 before task creation or balance deduction. Existing tasks can still be queried. This model ID is not mapped to another model.

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Install

Add it to Claude Code:

claude mcp add kling -s user -- npx -y @runapi.ai/kling-mcp

Use project scope when the server should be shared with a repository:

claude mcp add kling -s project -- npx -y @runapi.ai/kling-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "kling": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/kling-mcp"]
    }
  }
}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.

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Tools

Tool	Auth	Purpose
ai_avatar	Yes	Create a Kling ai avatar task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
edit_video	Yes	Create a Kling edit video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
extend_video	Yes	Create a Kling extend video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
image_to_video	Yes	Create a Kling image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
motion_control	Yes	Create a Kling motion control task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
text_to_video	Yes	Create a Kling text to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
get_task	Yes	Fetch the current status and latest payload for an existing task.
check_pricing	No	Look up current pricing for a Kling model and endpoint.

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Models

Kling covers 16 model variants across 6 endpoints. Each tool accepts the models listed for it:

Tool	Models
ai_avatar	kling-ai-avatar-pro, kling-ai-avatar-standard
edit_video	kling-v3-omni-edit, kling-v3-omni-reference
extend_video	kling-v2.5-turbo-image-to-video-pro, kling-v2.5-turbo-text-to-video-pro
image_to_video	kling-o1, kling-v2.1-master-image-to-video, kling-v2.1-pro, kling-v2.1-standard, kling-v2.5-turbo-image-to-video-pro, kling-v2.6, kling-v3-omni, kling-v3-turbo-image-to-video
motion_control	kling-3.0, kling-v2.6
text_to_video	kling-3.0, kling-o1, kling-v2.1-master-text-to-video, kling-v2.5-turbo-text-to-video-pro, kling-v2.6, kling-v3-omni, kling-v3-omni-reference, kling-v3-turbo-text-to-video

Model availability can change between releases. Use check_pricing or the Kling model page for the current catalog view.

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Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

Run a Kling ai avatar task with RunAPI.

The assistant can call check_pricing, then ai_avatar, and return the task id, status, and output URLs.

Submit without waiting

Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

Check current Kling pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Kling model page for the canonical catalog entry.

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Configuration

The server resolves auth in this order:

1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts
2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login
3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.

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Links

Resource	URL
Kling model page	https://runapi.ai/models/kling
npm package	@runapi.ai/kling-mcp
GitHub repository	runapi-ai/kling-mcp
RunAPI MCP overview	runapi.ai/mcp
RunAPI docs	runapi.ai/docs

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License

Licensed under the Apache License, Version 2.0.