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OECD Stats MCP

by seongapark
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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

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing indicators, fetching a single value, analyzing trends, comparing countries, ranking, searching dataflows, describing dimensions, and raw querying. No two tools overlap in function, and the descriptions clearly distinguish their use cases.

    Naming Consistency3/5

    All tool names share the 'oecd_' prefix and use snake_case, but the second part is inconsistent: some are verb_noun (list_indicators, search_dataflow, describe_flow), some are just nouns (stats, trend), and some are bare verbs (compare, rank). This mixed convention makes the set slightly less predictable despite the common prefix.

    Tool Count5/5

    The server has 8 tools, which is well within the ideal range. Each tool covers a distinct aspect of OECD data access: discovery, simple queries, trend analysis, cross-country comparison, ranking, broader search, metadata description, and raw querying. No tool feels redundant or excessive.

    Completeness5/5

    The toolset provides full lifecycle coverage for a read-only statistics server: discover available indicators, fetch specific values, analyze trends, compare countries, rank, search for unlisted data, understand data structure, and perform raw queries. There are no obvious gaps in the domain.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources