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AnatoliiBalakiriev

Open Data MCP

by AnatoliiBalakiriev
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

    A3.7/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct purpose: search_datasets for discovery, get_schema for structural metadata, and query for data extraction. There is no overlap or ambiguity in what each tool does.

    Naming Consistency4/5

    search_datasets and get_schema follow a clear verb_noun pattern, but 'query' deviates as a bare verb. The inconsistency is minor and the names remain readable.

    Tool Count5/5

    Three tools are within the typical well-scoped range (3-15). Each tool is essential for the core open-data workflow: discovery, inspection, and querying.

    Completeness3/5

    The surface covers search → schema → query, but there is no direct way to list resources for a dataset or retrieve full dataset metadata. The gap between search_datasets (returns dataset IDs) and get_schema (requires a resource ID) forces workarounds.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources