France Territorial Intelligence MCP — Health · Business · Geo

What is France Data MCP?

France Data MCP lets AI agents query, cross-reference and automatically enrich multiple French public registries through a unified MCP interface.

It provides a French territorial intelligence layer designed for multi-source reasoning and agentic orchestration — combining territorial data, geocoding, public health, administrative registries and multi-source enrichment to enable complex geospatial and territorial reasoning workflows.

Unlike simple API wrappers, the tools are designed to be chainable by AI agents to autonomously solve complex business questions.

Agentic workflow examples

• "Is this pharmacy actually still active?" — Detect closed SIRETs invisible in DREES data via FINESS ↔ RPPS ↔ SIRENE cross-source reconciliation.
• "Where should a specialist set up practice in Metz?" — Cross-reference medical density (Ameli + RPPS) with FINESS facility mapping.
• "Who are the M&A targets in the French pharmacy sector?" — SIRENE history + address matching + detection of unpropagated rebrandings.
• "Map healthcare coverage of a French canton" — Combine FINESS + RPPS + companies + geospatial coverage ratio.

Integrated sources

Capabilities

• Multi-registry orchestration
• Geocoding and territorial enrichment
• Multi-step reasoning for AI agents
• Chainable geospatial workflows
• Cross-reference intelligence across French public registries
• MCP HTTP + npm/stdio wrapper compatibility
• Sentry observability

Installation

Option 1 — Remote HTTP (claude.ai, Claude Code, Cursor)

https://france-data-mcp.vercel.app/mcp

Option 2 — npm wrapper (Claude Desktop, stdio clients)

{
  "mcpServers": {
    "france-data": {
      "command": "npx",
      "args": ["-y", "france-data-mcp"]
    }
  }
}

Links

- GitHub: https://github.com/cturkieh/france-data-mcp
- Endpoint: https://france-data-mcp.vercel.app/
- License: MIT