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"Elastic" matching MCP servers:

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    Connects to Elasticsearch clusters through the Model Context Protocol, enabling natural language querying and management of Elasticsearch data. Provides tools to search indices, list available indices, and retrieve index mappings.
    3
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    Small production-oriented MCP server for diagnosing incidents from Elasticsearch logs with unknown schema. It provides tools for log discovery, retrieval, and issue diagnosis.
    MIT
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    A Python MCP server that provides AI agents with a controlled, read-first interface to Elasticsearch, Kibana Security, Fleet, and Elastic Defend.
    MIT
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    Connects LLMs to Elasticsearch with a Semantic-to-Lexical layer that translates technical field names into business knowledge, enabling autonomous querying without hardcoded domain logic.
    2
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    Sigma detection rule writing, validation, and pySigma-based multi-backend conversion (Splunk, Elastic, Wazuh, Kibana) via 3 MCP tools and 3 Claude Code skills, backed by a 61-rule production corpus across 11 MITRE ATT\&CK tactic categories.
    3
    2
    MIT
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    Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.
    18
    Apache 2.0
  • A
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    Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.
    10
    1
    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.
    20
    303
    Apache 2.0
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    An MCP server that indexes PDF documentation and text into Elasticsearch for semantic search and retrieval. It enables users to query knowledge bases, ingest new files, and dynamically update content through MCP-compatible clients like Claude Desktop and Cursor.
    4
    1
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    An MCP server that enables interaction with Elasticsearch and OpenSearch clusters for searching documents and managing indices. It provides tools for cluster health monitoring, index configuration, and general API requests.
    16
    Apache 2.0
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    Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.
    3
    11
    Apache 2.0
  • A
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    Provides tools to query Elasticsearch indices, retrieve mappings, execute searches, and get cluster health stats.
    4
    MIT
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    MCP server that provides tools and resources to interact with Elasticsearch clusters, including listing indices, searching, and retrieving mappings.
    3
    MIT
  • F
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    quality
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    Read-only MCP server for Elasticsearch log querying. Enables natural language search, filtering, context retrieval, and aggregation of logs.
  • F
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    A high-performance MCP server that connects tools like Cursor to Elasticsearch clusters using public-key authorization instead of API keys. It provides optimized tools for searching data, listing indices, and inspecting cluster mappings or shards with support for concurrent requests.
  • F
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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.
    2