Provides tools for querying short-term rental market data, including nightly price percentiles for cities worldwide.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@France Data MCP what's the median property price in Lyon?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
French public registries as tools for AI agents: company records, property sale prices, housing energy performance, and short-term rental rates.
Endpoint: https://france-data-mcp.fly.dev/mcp (streamable HTTP)
The three REST APIs behind it are listed on API marketplaces, where they compete with 98,000 others for search placement. MCP is a different channel with different economics and much less crowding: Apify returns 80% of revenue to developers, MCPize 85%, against RapidAPI's 75%. More importantly, a listing that does not rank on one marketplace earns nothing there — a second channel decorrelates that risk.
This server owns no data. It is distribution.
Related MCP server: tenderapi-mcp
Tool | Answers |
| Find a French company by name, trade name or address |
| One company by SIREN, or the owner of a SIRET |
| Is this SIREN/SIRET well-formed, and does it exist |
| Median and percentile €/m² for a commune |
| Did this local market rise or fall, year by year |
| Energy label distribution, and the share barred from letting |
| What an energy rating is worth locally |
| Nightly price percentiles for any city worldwide |
Docstrings are the interface. The model reads them to choose a tool and its arguments, so they say what a tool answers and when to prefer it — not how it works.
Responses are trimmed, not proxied. An LLM pays for every token it reads. Returning the full REST payload would make each call expensive and slow to reason over, so each tool returns the answer rather than the record.
Caveats pass through unchanged. Several of these statistics are easy to misread — most sharply, poorly rated homes selling at a premium in old city centres. An agent reporting a median should be able to report its limits too, so the caveat text travels with the number.
MCP_ACCESS_TOKEN unset leaves the server open, which is the right setting while
the goal is directory listing and discovery. Set it to require a bearer token when
selling access directly. Marketplaces handle their own billing, so a server
distributed there runs open and lets the marketplace gate it.
Variable | Purpose |
| Proxy secrets for the three backends |
| Hostname allowed past DNS-rebinding protection |
| Optional bearer token |
The SDK rejects unknown Host headers to block DNS rebinding and allows only
localhost by default. Without PUBLIC_HOST declared, every real request answers
421 Misdirected Request — which is exactly what happened on first deploy.
pip install -r requirements.txt
uvicorn app.main:app --port 8080flyctl deploy --remote-onlyScale-to-zero, one machine.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
French public-data MCP: cross-ref health, demographics, business, geo & real-estate.
100+ MCP tools for AI agents: content metadata, trade intelligence, business-expertise analysis.
Real-time Amazon, WIPO & PACER data for AI agents — 19 tools via the MCP protocol.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/takatin31/france-data-mcp'
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