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Elasticsearch MCP Server

by cr7258
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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

    A3.6/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action (e.g., create_index, delete_document, get_cluster_health), with no ambiguity between them. Even similar operations like get_alias and list_aliases are clearly separated by singular vs. plural scope.

    Naming Consistency5/5

    All tools follow a strict verb_noun pattern in lower_snake_case (e.g., create_data_stream, search_documents), with no mixing of conventions. The verbs are consistent: create, delete, get, list, put, search, analyze, index, general.

    Tool Count4/5

    With 20 tools, the server is slightly over the ideal 3-15 range but still reasonable for a comprehensive Elasticsearch integration. Each tool covers a meaningful operation without feeling excessive.

    Completeness3/5

    Core CRUD operations for indices, documents, data streams, and aliases are covered, but notable gaps exist: no explicit update document (only full replacement via index_document), no update_by_query, and no mapping or settings update tools. The general_api_request can fill gaps but is a workaround.

    Maintenance

    ActivitySlowing
    ResponsivenessWithin a week

    Resources