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"Connecting a backend project to an Elasticsearch database" matching MCP servers:

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    Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.
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    Apache 2.0
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    MCP server providing backend access to PostgreSQL, Storage (Supabase/S3), Iceberg data lake, and SQL seeds. It offers 32 tools for database queries, storage operations, seed management, and more.
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    MIT
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    Enables secure and efficient interaction with Elasticsearch clusters through the Model Context Protocol, providing tools for data management, search, and export.
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    MIT
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    Facilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.
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    Apache 2.0
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    Connects Claude and other MCP clients to Elasticsearch data, allowing users to interact with their Elasticsearch indices through natural language conversations.
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    3
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    Apache 2.0
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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.
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    MIT
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    A read-only MCP server for Elasticsearch 7.10 clusters, providing tools for cluster info, health, index listing, and Query DSL search with Google OAuth and Bearer token authentication.
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    MIT
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    An MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.
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    15
    MIT
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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
    1,050
    Apache 2.0
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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.
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    1
    MIT
  • F
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    A FastMCP-powered server for accessing curated travel spot data from a PostgreSQL database. It provides tools to retrieve major attractions, supporting sites, and the top ten most popular destinations.
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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.
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    2
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    A Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.
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    2
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    Provides specialized analytics tools for querying VSee's Elasticsearch stats-\* indices, including account/group metrics, visit trends, platform breakdowns, rating distributions, and subscription tier analysis.
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    8
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    MIT
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    Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.
    Last updated
    42
    25
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    MIT