france-mcp-servers
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Bu listing icin henuz AI raporu yok.
A curated catalog of Model Context Protocol servers for French data, laws, and services.
France MCP Servers 🇫🇷
A curated catalog of Model Context Protocol
servers for French data, laws and services. Written entirely in English.
Explore the catalog ·
Browse the JSON API ·
Suggest a server ·
Contribute
About this repository
The Model Context Protocol (MCP) lets AI assistants such as GitHub Copilot,
Claude and Cursor connect to external data sources and tools through a standard interface.
This repository is not an MCP server itself. It is an independent, public
catalog of MCP projects relevant to France, including open data, legislation,
government services and transport. It is not affiliated with or endorsed by the
French government or the listed projects.
The infrastructure is adapted from Italia MCP Servers
under its original MIT license. This is a separate repository, not a fork;
it does not carry the Italian catalog or its Git history.
Start here
| To… | Visit… |
|---|---|
| Browse by category | Web catalog |
| Integrate the catalog into an application | JSON API |
| Suggest a missing project | New server form |
| Correct outdated information | Report an issue |
| Add a server directly | Contribution guide |
Choosing and using a server
- Choose a category and open a project's documentation.
- Check its requirements, license, credentials and available MCP tools.
- If a remote endpoint is listed, connect with a client supporting the stated transport.
- Otherwise, follow the project's installation instructions and add its launch
command to your MCP client's configuration.
Configuration varies between clients and servers. This catalog links to sources;
the project's own documentation remains the authority for setup and usage.
A remote link opens an endpoint, not a one-click installation or a health check.
Catalog
The 🎯 Ready score /100 measures documented readiness, not popularity or runtime
reliability. Where assessed, click the score for criteria, notes, sources and review date.
Unassessed does not mean zero. Entries are sorted by descending score, then by
name, with unassessed entries last. Bold names indicate an independent editorial selection.
Assessment method and limitations.
Catalog entries have been checked against public repositories and documentation;
none has been assigned a Ready score. last_verified records that metadata check,
not a runtime test. No third-party MCP server or tool was executed.
📊 Data and Statistics
| Project | 🎯 Ready score /100 | ⭐ | Lang | Description | Link |
|---|---|---|---|---|---|
| data.gouv.fr MCP | 100/100 | 1589 | Python | Official data.gouv.fr MCP server for discovering French datasets, querying tabular resources, and exploring public API metadata. | Connect |
| france-data-mcp | 100/100 | 3 | TS | Cross-reference 13 French public datasets covering healthcare, demographics, businesses, geography, planning, and real estate. | Connect |
| INSEE Entreprises MCP | 100/100 | 1 | Python | Look up French businesses by SIREN or SIRET and search by location or activity using INSEE Sirene and the public business-search API. | — |
| Pappers MCP | 85/100 | 1 | Go | Query French company legal data, financials, directors, beneficial owners, documents, compliance, and surveillance through Pappers API v2. | — |
| McpDiffusion | 75/100 | 1 | Python | Beta server unifying INSEE publications, MELODI datasets, and RMES semantic metadata behind a remote MCP endpoint. | Connect |
| Recherche d'Entreprises MCP | 57.5/100 | 1 | TS | Search French companies and associations by name, location, activity, and certification using the government's public business-search API. | — |
🗺️ Geospatial and Territory
| Project | 🎯 Ready score /100 | ⭐ | Lang | Description | Link |
|---|---|---|---|---|---|
| Geocontext | 100/100 | 26 | TS | IGNfab prototype for querying authoritative French geospatial data, including geocoding, elevation, cadastre, and urban planning. | Connect |
| IGN API Carto MCP | 85/100 | 11 | TS | Query IGN API Carto for French cadastre, administrative boundaries, agriculture, protected areas, urban planning, appellations, and WFS data. | — |
⚖️ Legal Tech and Law
| Project | 🎯 Ready score /100 | ⭐ | Lang | Description | Link |
|---|---|---|---|---|---|
| INPI Industrial Property MCP | 100/100 | 0 | TS | Search French, European, and international trademarks through the INPI Industrial Property API, including trademark details and Nice classes. | — |
| Légifrance MCP | 90/100 | 3 | Python | Community MCP server for French legislation, legal codes, the Official Journal, collective agreements, and case law through Légifrance. | — |
| Judilibre MCP | 87.5/100 | 2 | Python | Community MCP server for searching, reading, and exporting French court decisions from the Cour de cassation's Judilibre API. | — |
🏛️ Government and Public Finance
| Project | 🎯 Ready score /100 | ⭐ | Lang | Description | Link |
|---|---|---|---|---|---|
| Poligraph MCP | 85/100 | 0 | TS | Query documented French political data about politicians, mandates, parliamentary votes, parties, elections, public affairs, and fact-checks. | Connect |
| Data Économie France MCP | 80/100 | 0 | TS | Search, inspect, and query data.economie.gouv.fr datasets covering French public finance, taxation, procurement, companies, and economic indicators. | Connect |
🧭 Public Services
| Project | 🎯 Ready score /100 | ⭐ | Lang | Description | Link |
|---|---|---|---|---|---|
| VosDroits MCP | 80/100 | 105 | Go | Search and retrieve French administrative procedures and tax guidance published on service-public.gouv.fr and impots.gouv.fr. | — |
💼 Employment and Labor
| Project | 🎯 Ready score /100 | ⭐ | Lang | Description | Link |
|---|---|---|---|---|---|
| France Travail MCP | 100/100 | 1 | TS | Search official France Travail job listings, explore ROME occupations, predict ROME codes, and identify companies likely to recruit. | — |
🚆 Transport and Mobility
| Project | 🎯 Ready score /100 | ⭐ | Lang | Description | Link |
|---|---|---|---|---|---|
| sncf-mcp | 90/100 | 5 | Go | Plan journeys and query stations, upcoming departures, and service disruptions through the official SNCF and Navitia open-data API. | — |
Verification notes
The initial five listings were checked on 2026-09-06 and the six additions on
2026-09-07. Each metadata file links its consulted README at a fixed commit.
Licenses reflect upstream declarations; star counts are GitHub snapshots, not
recommendations. Installation requirements below come from documentation and source
inspection, not execution.
Runtime smoke tests
Community reports are point-in-time observations, not endorsements, certifications or
uptime guarantees. On 2026-09-08, xhmq3131 reported
that data.gouv.fr MCP worked without authentication using mcporter 0.13.7 on Windows 11
(build 22631) over Streamable HTTP. The endpoint initialized, exposed its tool schemas
and returned three results from search_datasets for emploi. A direct MCP protocol
check independently confirmed those endpoint behaviors on the same date.
To reproduce the reported smoke test (requires Node.js 24 or newer):
npx --yes [email protected] list https://mcp.data.gouv.fr/mcp --schema
npx --yes [email protected] call https://mcp.data.gouv.fr/mcp.search_datasets \
query=emploi page_size=3 --output json
Results may change as the catalog data and hosted service evolve. No API key is
required for these commands.
| Project | Setup and important qualifications |
|---|---|
| data.gouv.fr MCP | Official server; its documented public endpoint uses Streamable HTTP without access restrictions. Direct stdio and SSE are not supported. Self-hosting instructions are also available. |
| Légifrance MCP | Community Python server, self-hosted over Streamable HTTP. Requires a PISTE Légifrance subscription and LEGIFRANCE_CLIENT_ID / LEGIFRANCE_CLIENT_SECRET. No public hosting is claimed. |
| Judilibre MCP | Community Python server, self-hosted over Streamable HTTP. Requires a PISTE Judilibre subscription and JUDILIBRE_CLIENT_ID / JUDILIBRE_CLIENT_SECRET. No public hosting is claimed. |
| INSEE Entreprises MCP | Source installation with Python 3.12+ and uv; stdio. INSEE_API_KEY is needed for SIREN/SIRET lookups, but not advanced business search. MIT is declared by a README badge; no standalone license text was found. The source targets Sirene 3.11; current API compatibility is not verified. |
| Recherche d'Entreprises MCP | Source installation with Node.js 18+, npm install and npm run build; stdio. Its public business-search requests do not use credentials. ISC is declared in package metadata. The README contains a placeholder clone URL: use the canonical repository link. |
| McpDiffusion | Beta project, not an official supported INSEE product. A public HTTP endpoint is documented; most self-hosted tools require a private Elasticsearch index, while only the RMES SPARQL tool works without it. |
| Geocontext | IGNfab incubation prototype with remote HTTP and local stdio options. The project explicitly states that it is not yet an industrialized IGN product. |
| VosDroits MCP | Community Go server distributed as binaries and a Docker image over stdio. It retrieves official Service-Public and tax content through web scraping rather than official APIs. |
| france-data-mcp | Offers a hosted Streamable HTTP endpoint and an npm stdio wrapper for 13 public sources and 36 tools. The public endpoint documents a per-IP rate limit. |
| France Travail MCP | Local stdio server requiring free France Travail application credentials and subscriptions to the APIs used. La Bonne Boîte needs separate approval and is disabled by default. |
| sncf-mcp | Local Go server using stdio by default and requiring a free SNCF/Navitia API key. It covers journey planning and operational information, not ticket prices. |
The two PISTE servers mention sandbox setup in their READMEs but use production
API URLs in source; sandbox compatibility is not verified. Recherche d'Entreprises
also documents rate-limit and timeout settings that are not applied to its upstream
request. Review these limitations before use. Inclusion does not certify upstream
availability, licensing completeness or client compatibility.
Data and API
The machine-readable catalog is regenerated on updates to main by the Pages workflow.
Public URLs below become available once the repository maintainer enables GitHub Pages
with GitHub Actions and the first deployment succeeds.
curl -s https://bsab.github.io/france-mcp-servers/catalog.json \
| jq '.servers[] | {name, category, url}'
| Resource | URL |
|---|---|
| Catalog | https://bsab.github.io/france-mcp-servers/catalog.json |
| Catalog schema | https://bsab.github.io/france-mcp-servers/schema/catalog.schema.json |
| Server schema | https://bsab.github.io/france-mcp-servers/schema/server.schema.json |
| Search and filters | https://bsab.github.io/france-mcp-servers/ |
version identifies the document structure and changes only for incompatible updates.
Each servers entry contains the source JSON fields plus url, the canonical project
link, and readiness_score, the derived static score or null if unassessed.
Optional quality records review evidence and dates; quality_rubric describes
how scores are calculated. French catalog category identifiers are English slugs.
Quality and transparency
Inclusion does not certify or endorse a project. Before use, review its code,
requested permissions, data handling and license.
To be included, a server must:
- implement the Model Context Protocol, not merely offer an API;
- be relevant to French data, laws or services;
- provide at least one public repository, documentation site or MCP endpoint;
- have sufficient usage documentation.
🎯 Ready score
The Ready score measures documented readiness from 0 to 100.
Static rubric v1 evaluates evidence in public documentation:
| Criterion | Weight |
|---|---|
| Concrete installation or connection steps | 30 |
| Explicit configuration, credentials and prerequisites | 20 |
| Documented MCP tools and capabilities, with examples | 20 |
| Declared transport and compatible clients | 15 |
| Explicit license with accessible terms | 10 |
| Documented known limitations | 5 |
Each criterion earns zero if not documented in the consulted sources, half its weight
if partial, or its full weight if complete. The score is their sum.
Unassessed means no assessment is available or sources could not be consulted;
it is not zero. Notes and sources, preferably pinned to commits, are public and
can be corrected through pull requests. Review dates refer to documentation checks.
The starter catalog was researched with AI assistance; its entries are unassessed
and open to source-based corrections.
No servers or MCP tools are executed for this review. The score does not certify
functionality, security, availability or active maintenance. Well-documented servers
may still fail. Weights are an editorial choice, not an experimentally validated
benchmark. Assessment is not a prerequisite for inclusion.
Full checklist and assessment contribution guide.
GitHub stars are informational snapshots, not live counts. Stars, featured, remote
access and recent activity do not contribute to scores. CI validates the data structure;
external links are checked weekly, separately from documentation assessments.
Contributing
The simplest way to help is to
suggest a server.
To add one directly:
- Create a
kebab-case.jsonfile inservers/. - Follow
schema/server.schema.json. - Validate the entry and regenerate the README.
- Open a pull request.
python3 -m venv .venv
.venv/bin/python -m pip install -r scripts/requirements.txt
.venv/bin/python scripts/validate_servers.py
.venv/bin/python scripts/build_readme.py
.venv/bin/python scripts/build_readme.py --check
.venv/bin/python -m unittest discover -s scripts -p 'test_*.py'
.venv/bin/python scripts/build_catalog.py
README tables and badges inside BEGIN/END markers are generated; do not edit them
by hand. See CONTRIBUTING.md for fields, categories, validation,
local preview and deployment instructions.
License and attribution
This catalog is distributed under the MIT license, preserving the original
copyright from Italia MCP Servers.
The listed servers remain subject to their own licenses.
Making French data, laws and services easier to discover for AI assistants.
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