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cambridge-open-data-ma-mcp

cambridge-open-data-ma-mcp

by ali5ter
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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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

    A3.8/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have clearly distinct pipeline roles: refresh_catalog (metadata cache), fetch_dataset (row cache), search/describe (metadata lookup), query (SQL). The only real overlap is field_coverage vs coverage_audit (one field vs all fields), but the descriptions explicitly frame the audit as the batch alternative to the manual check.

    Naming Consistency4/5

    Six of eight names follow a clear verb_noun pattern (refresh_catalog, search_datasets, describe_dataset, fetch_dataset, list_cached_datasets), plus the short query. field_coverage and coverage_audit break the pattern as noun phrases, a minor but noticeable deviation.

    Tool Count5/5

    Eight tools is well-scoped for a dataset-portal pipeline: discovery, schema, fetch, cache listing, coverage checks, and SQL querying, with no redundant entries. Each tool earns its place in a coherent workflow.

    Completeness4/5

    The surface covers the full lifecycle from catalog refresh through schema inspection, fetching, coverage auditing, and cross-dataset SQL. Minor gaps exist: no way to delete/evict cached data, no export or pagination of query results, and no catalog filtering by category or update date beyond keyword search.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources