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datagouv

datagouv-mcp

by datagouv
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Python

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.5/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct resource type and action: search tools cover datasets, organizations, and dataservices separately; info tools provide detailed metadata for each; query_resource_data and list_dataset_resources clearly differ in purpose (querying vs. enumeration). No two tools appear to serve the same function.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case: search_datasets, get_dataset_info, list_dataset_resources, query_resource_data, etc. The verbs (search, get, list, query) are used predictably and match the tool's action, with no mixed conventions.

    Tool Count5/5

    At 10 tools, the set is well-scoped for a data catalog MCP server. Each tool addresses a necessary part of the workflow (search, metadata retrieval, data querying, metrics), and there are no redundant or unnecessary tools.

    Completeness5/5

    The surface covers the full read-only lifecycle of the data.gouv.fr catalog: searching for datasets/organizations/dataservices, getting detailed info on each, listing resources, querying tabular data, fetching OpenAPI specs, and retrieving metrics. No essential operations appear missing for typical use cases.

    Maintenance

    ActivityMaintained
    ResponsivenessWithin a week

    Resources