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OpenSearch MCP Server

by solanabughunter-glitch
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Python
Remote

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    • opensearch-mcp-server-py by opensearch-project

      opensearch-mcp-server-pyofficial

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      quality
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      MCP server for OpenSearch that enables AI assistants to interact with OpenSearch clusters through a standardized interface for search, index management, and cluster operations.
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    • OpenSearch MCP Server

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      A Model Context Protocol server implementation that enables natural language interactions with OpenSearch clusters, allowing users to search documents, analyze indices, and manage clusters through simple conversational commands.
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    • opensearch-mcp

      mrfentmen
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      An MCP server that enables AI agents to interact with OpenSearch, including searching indices, managing documents, creating and deleting indexes, checking cluster health, and monitoring statistics.
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    • OpenSearch MCP Server

      stackblaze
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to interact with OpenSearch clusters for searching indices, retrieving mappings, and managing shards through the MCP protocol.
      Apache 2.0
    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

    B3.4/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools have distinct purposes, but CountTool and SearchIndexTool both involve queries and could be confused without careful reading. The GenericOpenSearchApiTool is a catch-all that overlaps with all other tools, but it's intended for unsupported APIs.

    Naming Consistency3/5

    All tool names use CamelCase and the 'Tool' suffix, but the verb/noun order is inconsistent: some start with verbs (GetShards, ListIndex, SearchIndex), others with nouns (ClusterHealth, DataDistribution), and some are generic (CountTool, ExplainTool). This mix reduces predictability.

    Tool Count5/5

    With 11 tools, the server covers the main OpenSearch operations (cluster health, indexing, searching, analysis) without being overwhelming. The count is well-scoped for a search engine MCP server.

    Completeness4/5

    Core operations like listing indices, searching, counting, and explaining are covered. Missing dedicated tools for index creation/deletion and bulk operations, but the GenericOpenSearchApiTool fills these gaps, making the surface fairly complete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources