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Connecting a backend project to an Elasticsearch database MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

16,859 servers. Last updated 2026-02-02 17:39

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    A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.
    Last updated 6 months ago
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    MIT
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    Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.
    Last updated 6 months ago
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    MIT
    • Apple
    • Linux
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    Enables Claude Desktop to connect directly to Elasticsearch clusters for intelligent log analysis through natural language queries. Users can ask questions about their logs in plain English and get actionable insights without writing complex Elasticsearch queries.
    Last updated 5 months ago
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    Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through tools for listing indices, getting field mappings, performing searches, and viewing shard information.
    Last updated 7 months ago
    411
    Apache 2.0

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