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OpenSearch MCP Server

by seohyunjun
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Python
Hybrid

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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

    B3.1/5.0

    Scored across 14 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose targeting specific OpenSearch operations. There is no overlap between tools like get_cluster_health (health status), get_mapping (index structure), and search_documents (document queries). Each tool name precisely indicates its unique function within the OpenSearch domain.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern throughout. The pattern is predominantly 'get_' for retrieval operations and 'list_' for listing operations, with specific exceptions like 'generate_' and 'search_' that maintain the same structure. No mixing of conventions like camelCase or snake_case variations.

    Tool Count5/5

    With 14 tools, this server is well-scoped for OpenSearch operations, covering monitoring, configuration, and data querying aspects. Each tool earns its place by addressing distinct needs like cluster health, index management, and document search, without being overly sparse or bloated.

    Completeness4/5

    The tool set provides strong coverage for monitoring, configuration retrieval, and search operations in OpenSearch. Minor gaps exist, such as the absence of tools for creating or updating resources (e.g., indices, policies), but agents can still perform core read and diagnostic workflows effectively.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources