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Search and summarize French public transport open data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-french-transport-data" yet — see the docs or source repo.
Search transport.data.gouv.fr for public transport datasets related to the Paris region, and briefly summarize each dataset's purpose.
A list of relevant datasets with brief purpose summaries.
Help me find the GTFS resources for a French transport network, and explain the associated network and region.
GTFS resources with their associated network and region.
Summarize the data-quality information for a public transport data resource on transport.data.gouv.fr, and note any caveats.
A data-quality summary with potential caveats.
Researchers or analysts can quickly explore French public transport open data resources. It is useful for topic scoping, dataset inventorying, and background research.
Developers integrating a city or regional transit feed can use it to locate available GTFS resources first. This helps assess coverage and network ownership faster.
When comparing multiple French transport datasets, you can use it to review overviews and data-quality information. That makes it easier to choose a suitable source for downstream work.
It helps discover and summarize French public transport open data on transport.data.gouv.fr, including datasets, GTFS resources, regions, networks, and data-quality information.
It mainly looks up datasets, GTFS resources, regions, networks, and related data-quality information. It is suited for search and quick summarization.
Query French open data and dataset information from data.gouv.fr.
Discover and summarize French open energy data, including electricity mix insights.
Query and summarize French commune details and discover related public datasets.
Access and analyze SNCF open railway datasets from OpenDataSoft.
Cross-reference French public data across health, demographics, business, geography, and real estate.
Search, explore, and analyze French national open datasets through conversation.