Search, explore, and analyze French national open datasets through conversation.
The materials indicate this is an official open-source project from data.gouv.fr with no required secrets and no declared third-party remote endpoints, suggesting a generally low risk profile. As an MCP server, it inherently executes code and should be run with basic isolation and least privilege, but no clear high-risk red flags are evident from the provided facts.
The materials explicitly state that no keys or environment variables are required, and there is no indication that API tokens, account credentials, or other secrets must be supplied; credential exposure and abuse risk therefore appears low.
The description indicates it accesses the French national open data platform to search, explore, and analyze datasets, which implies network communication related to its stated purpose. Although no specific hosts are listed and no unrelated or suspicious endpoints are disclosed, user queries may be transmitted to the target data platform, so this should be treated as a normal egress caution.
The system checks indicate that this tool executes code; as an MCP tool, this typically means running a local service process and handling requests. The provided materials do not show requests for unusual system privileges or dangerous actions unrelated to its stated function, so this is rated as normal caution rather than high risk.
Based on the materials, its primary data access scope appears to be open datasets on data.gouv.fr, and it does not declare broad local file read/write access, system directory access, or extra resource permissions. Because the README is absent, it is not possible to confirm whether it performs caching, logging, or local config reads/writes, so least-privilege operation is recommended.
The source is an official open-source GitHub repository under the MIT license, auditable, and shows relatively strong community adoption (about 1.5k stars), all of which are meaningful risk-reducing signals. Maintenance status is unknown, but given the current source credibility and code visibility, the overall supply-chain risk appears low.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "datagouv-mcp" yet — see the docs or source repo.
Search data.gouv.fr for datasets related to public transport and urban mobility in France. Prioritize datasets updated within the last two years, with nationwide coverage, and organize them by topic, update date, and file format.
A relevance-ranked dataset list including topic, update date, coverage, and format details.
Find public datasets about unemployment rates in France, summarize the field meanings, and compare regional trends over the past five years. If there are multiple candidate datasets, explain which one is best for regional trend analysis and why.
Results containing a recommended dataset, field explanations, and a summary of regional trend analysis.
Help me find datasets on data.gouv.fr suitable for predicting housing prices in France. List available feature fields, data quality risks, update frequency, and recommend follow-up cleaning and preprocessing steps before modeling.
A modeling-oriented data source recommendation with feature fields, risk assessment, and preprocessing advice.
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