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JOSETRA44

INEI MCP Server

by JOSETRA44
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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

    A3.5/5.0

    Scored across 9 tools

    Disambiguation2/5

    The tool set has a major disambiguation problem due to inei_get_districts being misnamed: its description says it returns all 25 departments, not districts, making it redundant with inei_get_departments. Other tools like inei_browse_topics, inei_search_indicators, and inei_get_indicator_data have distinct roles, but the duplication causes confusion.

    Naming Consistency4/5

    All tools use the 'inei_' prefix and snake_case, with a consistent verb_noun pattern (get_*, browse_*, search_*). However, inei_get_districts is misleading because it does not return districts but departments, breaking semantic consistency. inei_get_census_dashboard uses 'dashboard' instead of a data-object noun, which is a minor deviation.

    Tool Count5/5

    With 9 tools, the set is well-scoped for a statistical API covering browsing, searching, geography listing, geography profiling, and data retrieval. Each tool has a clear purpose, and the count feels neither too sparse nor overwhelming.

    Completeness4/5

    The set covers the main workflows: explore topics, search indicators, retrieve data by geography, and get national summaries. It can handle department and province queries. However, the duplicate get_districts tool is unnecessary, and the API's limitation to department-level geography (no district data) is a domain constraint. Minor gaps exist (e.g., no hierarchical drill-down beyond two levels), but overall coverage is good for a read-only census API.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources