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elastic-mcp

by csimi
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    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

    A3.9/5.0

    Scored across 14 tools

    Disambiguation4/5

    The tool set maps cleanly to distinct Elasticsearch endpoints: cluster, nodes, shards, indices, documents, mappings, settings, aliases, and Kibana objects. Search, count, and esql overlap somewhat as query paths, but their descriptions clearly differentiate Query DSL hits/aggregations, simple counts, and ES|QL pipelines.

    Naming Consistency4/5

    Naming is mostly predictable: list_* enumerates cluster resources, get_* fetches specific objects or metadata, cluster_* covers cluster-level views, and search/count/esql are self-explanatory actions. The mix of list_/get_ and bare verbs is a minor inconsistency, but it is still readable and not chaotic.

    Tool Count5/5

    14 tools is well within the ideal range and each tool covers a major Elasticsearch operation area: cluster, nodes, shards, indices, documents, queries, and Kibana. No tool feels redundant or excessive for the apparent read/query/monitoring scope.

    Completeness4/5

    As a read/query/monitoring surface, it covers the main workflows: cluster health and stats, node/shards inspection, index metadata, aliases, mappings, documents, multiple query languages, and Kibana saved objects. The obvious gap is the absence of write/management tools such as create, update, or delete, so the server is complete only for read-oriented use.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources