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Elasticsearch/OpenSearch MCP Server

by Rbedoyag
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Python
Hybrid

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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

    B3.3/5.0

    Scored across 16 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose targeting specific resources and actions in Elasticsearch/OpenSearch. The tools cover index management, document operations, alias handling, cluster monitoring, and search with no overlapping functionality. Even the general_api_request tool is clearly distinguished as a fallback for unsupported APIs.

    Naming Consistency5/5

    The tools follow a highly consistent verb_noun naming pattern throughout (e.g., create_index, delete_document, get_cluster_health, search_documents). All tools use snake_case with clear action verbs followed by resource nouns, making the API surface predictable and readable.

    Tool Count5/5

    With 16 tools, this server is well-scoped for the Elasticsearch/OpenSearch domain. It provides comprehensive coverage of core operations without being overwhelming. Each tool serves a specific, necessary function in the database management workflow, and the count aligns well with the complexity of the domain.

    Completeness4/5

    The toolset provides excellent coverage of core Elasticsearch/OpenSearch operations including CRUD for indices and documents, alias management, cluster monitoring, and search. The general_api_request tool elegantly handles edge cases. Minor gaps might include bulk operations or specific monitoring endpoints, but agents can work around these using the general tool.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources