Skip to main content
Glama
Sign In
deenesjakoruzh

Elasticsearch MCP Server

by cr7258
GitHub
Python
Apache 2.0
127
  • Apple
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

Integrations

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

  • Mentions that Kibana is accessible as part of the Elasticsearch cluster setup, though interaction is primarily through the Elasticsearch API

Elasticsearch/OpenSearch MCP Server

Overview

A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction. This server enables searching documents, analyzing indices, and managing cluster through a set of tools.

Demo

https://github.com/user-attachments/assets/f7409e31-fac4-4321-9c94-b0ff2ea7ff15

Features

General Operations

  • general_api_request: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool.

Index Operations

  • list_indices: List all indices.
  • get_index: Returns information (mappings, settings, aliases) about one or more indices.
  • create_index: Create a new index.
  • delete_index: Delete an index.

Document Operations

  • search_documents: Search for documents.
  • index_document: Creates or updates a document in the index.
  • get_document: Get a document by ID.
  • delete_document: Delete a document by ID.
  • delete_by_query: Deletes documents matching the provided query.

Cluster Operations

  • get_cluster_health: Returns basic information about the health of the cluster.
  • get_cluster_stats: Returns high-level overview of cluster statistics.

Alias Operations

  • list_aliases: List all aliases.
  • get_alias: Get alias information for a specific index.
  • put_alias: Create or update an alias for a specific index.
  • delete_alias: Delete an alias for a specific index.

Configure Environment Variables

Copy the .env.example file to .env and update the values accordingly.

Start Elasticsearch/OpenSearch Cluster

Start the Elasticsearch/OpenSearch cluster using Docker Compose:

# For Elasticsearch docker-compose -f docker-compose-elasticsearch.yml up -d # For OpenSearch docker-compose -f docker-compose-opensearch.yml up -d

The default Elasticsearch username is elastic and password is test123. The default OpenSearch username is admin and password is admin.

You can access Kibana/OpenSearch Dashboards from http://localhost:5601.

Usage with Claude Desktop

Option 1: Installing via Smithery

To install Elasticsearch Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install elasticsearch-mcp-server --client claude

Option 2: Using uvx

Using uvx will automatically install the package from PyPI, no need to clone the repository locally. Add the following configuration to Claude Desktop's config file claude_desktop_config.json.

// For Elasticsearch { "mcpServers": { "elasticsearch-mcp-server": { "command": "uvx", "args": [ "elasticsearch-mcp-server" ], "env": { "ELASTICSEARCH_HOSTS": "https://localhost:9200", "ELASTICSEARCH_USERNAME": "elastic", "ELASTICSEARCH_PASSWORD": "test123" } } } } // For OpenSearch { "mcpServers": { "opensearch-mcp-server": { "command": "uvx", "args": [ "opensearch-mcp-server" ], "env": { "OPENSEARCH_HOSTS": "https://localhost:9200", "OPENSEARCH_USERNAME": "admin", "OPENSEARCH_PASSWORD": "admin" } } } }

Option 3: Using uv with local development

Using uv requires cloning the repository locally and specifying the path to the source code. Add the following configuration to Claude Desktop's config file claude_desktop_config.json.

// For Elasticsearch { "mcpServers": { "elasticsearch-mcp-server": { "command": "uv", "args": [ "--directory", "path/to/src/elasticsearch_mcp_server", "run", "elasticsearch-mcp-server" ], "env": { "ELASTICSEARCH_HOSTS": "https://localhost:9200", "ELASTICSEARCH_USERNAME": "elastic", "ELASTICSEARCH_PASSWORD": "test123" } } } } // For OpenSearch { "mcpServers": { "opensearch-mcp-server": { "command": "uv", "args": [ "--directory", "path/to/src/elasticsearch_mcp_server", "run", "opensearch-mcp-server" ], "env": { "OPENSEARCH_HOSTS": "https://localhost:9200", "OPENSEARCH_USERNAME": "admin", "OPENSEARCH_PASSWORD": "admin" } } } }
  • On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • On Windows: %APPDATA%/Claude/claude_desktop_config.json

Restart Claude Desktop to load the new MCP server.

Now you can interact with your Elasticsearch/OpenSearch cluster through Claude using natural language commands like:

  • "List all indices in the cluster"
  • "How old is the student Bob?"
  • "Show me the cluster health status"

Usage with Anthropic MCP Client

uv run mcp_client/client.py src/server.py

License

This project is licensed under the Apache License Version 2.0 - see the LICENSE file for details.

You must be authenticated.

A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

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.

  1. Overview
    1. Demo
      1. Features
        1. General Operations
        2. Index Operations
        3. Document Operations
        4. Cluster Operations
        5. Alias Operations
      2. Configure Environment Variables
        1. Start Elasticsearch/OpenSearch Cluster
          1. Usage with Claude Desktop
            1. Option 1: Installing via Smithery
            2. Option 2: Using uvx
            3. Option 3: Using uv with local development
          2. Usage with Anthropic MCP Client
            1. License

              Related Resources

              Related MCP Servers

              • 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.
                Last updated -
                1
                JavaScript

              • 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.
                Last updated -
                17
                6
                TypeScript

              • 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.
                Last updated -
                3
                1
                Python
                Apache 2.0

              • Elasticsearch MCP Serverofficial

                elastic
                A
                security
                A
                license
                A
                quality
                Connects Claude and other MCP clients to Elasticsearch data, allowing users to interact with their Elasticsearch indices through natural language conversations.
                Last updated -
                3
                443
                171
                JavaScript
                Apache 2.0

              View all related MCP servers

              Appeared in Searches

              New MCP Servers

              ID: b3po3delex