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DocMap intelligence OS - productised ops toolkit (clinic sales, reviews, TikTok, MCP) plus clinic outreach UI and data workers.

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DocMap Intelligence OS

Internal intelligence platform for DocMap. It is a monorepo of tools that started as manual ops - talking to patients and clinics, reading reviews, watching TikTok comments, drafting outreach by hand - and were productised so the same judgement scales.

Live web preview: intelligence-os-web.vercel.app
Hosted MCP: https://mcp.docmap.co.uk/mcp

How to read this repo

Two layers:

  1. Platform packages - Next.js clinic UI, MCP, marketing ETL, workers (run in production)
  2. Absorbed project folders - earlier standalone tools kept here for convenience; several also have their own GitHub repos for clear ownership and READMEs

Platform packages

Path Role
App / UI (Next.js root) Clinic outreach / accounts dashboard
mcp-server/ Hosted MCP for Claude (TikTok tools, search, Gmail drafts)
marketing-pipeline/ Production TikTok ETL + Supabase sync
data-worker/ Railway cron jobs
ingestion-pipeline/ Clinic CSV -> Supabase + embeddings
gtm-pipeline/ GTM / CQC account intelligence
relationship-desk-mcp/ Gmail relationship memory MCP
docs/ Deploy, MCP onboarding, execution plans

Absorbed projects (also on GitHub)

These folders are the "we did this manually, then automated it" toolkit:

Folder in this repo Standalone repo What it is
Clinic sales agent/ clinic-sales-agent Doctify discovery, enrichment, CQC match, outreach drafts
Carousel agents V2/ carousel-agent Selection-first social carousels from documents
Doctors Sales Agent/ doctor-sales-agent Doctor onboarding email drafts from WhatsApp recommendations
Negative Review analysis/ negative-review-analysis Google negative-review themes for clinics
Social media analysis/ social-media-analysis TikTok metrics / transcripts / performance hypotheses

Related product (separate org repo): synaptic-docmap/triage_tool - WhatsApp / specialist triage for patients. Ranking research: ranking_algo.

Living status: STATUS.md. Master plan: docs/MASTER_PLAN.md.

Quick start

Web app

npm install
cp .env.example .env.local
npm run dev

TikTok marketing pipeline (production path)

cd marketing-pipeline
pip install -e .
python -m marketing_pipeline tiktok extract-components
python -m marketing_pipeline tiktok sync-supabase

Team MCP (Claude)

See docs/MCP_ONBOARDING.md and docs/DEPLOY.md.

Notable env (TikTok)

Copy .env.example to .env.local:

  • MODEL_OCR - vision OCR (default Gemini Flash)
  • MODEL_COMPONENTS - component cards (default DeepSeek flash)

Docs index

Doc Topic
STATUS.md Prod health and next steps
docs/DEPLOY.md Railway / Vercel / MCP
docs/MCP_ONBOARDING.md Connect Claude to DocMap MCP
docs/MASTER_PLAN.md Phased product plan

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