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kgy0617

ECOS MCP Server

by kgy0617
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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

    A4.1/5.0

    Scored across 7 tools

    Disambiguation3/5

    get_popular_statistic, get_key_statistics, and search_statistics all return economic indicator data, so an agent must infer which mode fits the query. The descriptions clarify code-free keyword lookup versus generic code-based queries versus a fixed 100-indicator list, but 'popular' and 'key' remain semantically close.

    Naming Consistency3/5

    Names are grouped by action (get_, search_, list_) and remain readable, but the set mixes singular and plural forms ('statistic' vs 'statistics') and uses different object patterns like get_popular_statistic versus get_key_statistics. The naming is not chaotic, but it is not fully consistent.

    Tool Count5/5

    Seven tools is a well-scoped size for an economic-statistics server. Each tool serves a distinct stage of the workflow: quick lookup, generic retrieval, table discovery, item discovery, metadata, and dictionary lookup.

    Completeness5/5

    The tool surface covers the main ECOS workflows end to end: find a statistical table, inspect its items, retrieve time series, fetch metadata, look up terms, and access popular or major indicators. There are no obvious dead ends or missing core operations for the stated domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources