datagouv-mcp (datagouv/datagouv-mcp) is an MCP server listed on the M8ven Trust Index. It scores 75 out of 100, grade B. It declares 18 tools. No publisher has claimed this listing.

B
Limited view
75/100
1 month ago

datagouv-mcp

Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

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Who stands behind it

datagouv

Source: github_topic · also listed on modelscope

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: MATOMO_AUTH_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configMCP_ENVenvironment name reported to Sentry (defaults to local when unset). Set explicitly to prod, preprod, or demo in your deployment.
configDATAGOUV_API_ENVMCP_PORT=8007 =demo LOG_LEVEL=DEBUG docker compose up -d
configMCP_PORT8007 DATAGOUV_API_ENV=demo LOG_LEVEL=DEBUG docker compose up -d
configMCP_HOSThost to bind to (defaults to 0.0.0.0). Set to 127.0.0.1 for local development to follow MCP security best practices.
configLOG_LEVELMCP_PORT=8007 DATAGOUV_API_ENV=demo =DEBUG docker compose up -d
configMATOMO_URL
configMATOMO_SITE_ID
🔐 secretMATOMO_AUTH_TOKEN
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deploySENTRY_DSN
deploySENTRY_SAMPLE_RATE
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

18/18 tools missing one or more hints — get_dataservice_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_dataservice_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_dataset_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +15 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool handlers catch errors

12/18 tool handlers wrap calls in try/catch (67%)

Wrap each tool handler body in try/catch and return a structured error response.

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/datagouv/datagouv-mcp)](https://m8ven.ai/mcp/datagouv/datagouv-mcp)
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commit: 79ec83487b3b9557e341ead8e54fb957ae0aacd2
code hash: 39bf2380db91ec26de8cabb3162858f916efe4ef26aec1111cac38707e9f2585
verified: 8/7/2026, 2:10:24 AM
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