Glama
Sign In

MCP Servers for Elasticsearch

Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.

View all MCP Servers

  • Why this server?

    Provides product specification search capabilities through Elasticsearch indexes, allowing for detailed product comparisons based on technical specifications

    BigGo MCP Serverofficial

    Funmula-Corp
    A
    security
    A
    license
    A
    quality
    A Model Context Protocol server enabling product searches across e-commerce platforms, price history tracking, and product specification-based searches using natural language prompts.
    8
    5
    Python
    MIT License

  • Why this server?

    Enables interaction with Elasticsearch 7.x instances, supporting basic operations like ping and info, as well as complete search functionality including aggregation queries, highlighting, sorting, and other advanced search features.

    Elasticsearch 7.x MCP Server

    imlewc
    A
    security
    A
    license
    A
    quality
    Provides an MCP protocol interface for interacting with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.
    3
    Python
    Apache 2.0

  • Why this server?

    Provides Elasticsearch interaction allowing users to search documents, analyze indices, and manage clusters through natural language queries

    Elasticsearch MCP Server

    cr7258
    A
    security
    A
    license
    A
    quality
    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.
    6
    25
    Python
    Apache 2.0
    • Apple

  • Why this server?

    Uses Elasticsearch as the backend for the knowledge graph, providing distributed, scalable storage for entities and relations with advanced search capabilities

    Elasticsearch Knowledge Graph for MCP

    j3k0
    A
    security
    F
    license
    A
    quality
    Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
    17
    TypeScript

  • Why this server?

    Enables vector search capabilities for AI queries, allowing efficient similarity searches and semantic retrieval of data stored in Elasticsearch indices.

    MyAIServ MCP Server

    eagurin
    -
    security
    A
    license
    -
    quality
    A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.
    5
    Python
    MIT License

  • Why this server?

    MCP Server implementation that provides Elasticsearch interaction

    Test

    punkpeye
    Verified
    -
    security
    A
    license
    -
    quality
    Test
    8,937
    MIT License
    • Linux
    • Apple

  • Why this server?

    The MCP server provides semantic search functionality through Elasticsearch, enabling users to search through Search Labs blog posts that have been indexed using Elastic Open Crawler.

    Elasticsearch Semantic Search MCP Server

    jedrazb
    -
    security
    F
    license
    -
    quality
    A Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.
    Python

  • Why this server?

    Enables management of Elasticsearch clusters, allowing for creating indices, indexing documents, listing available indices, and executing search queries using Elasticsearch query DSL.

    Elasticsearch MCP Server

    da1y
    -
    security
    F
    license
    -
    quality
    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.
    1
    JavaScript