Elasticsearch MCP Server

Overview

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

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

Features

Index Operations

• list_indices: List all indices in the Elasticsearch cluster.
• get_mapping: Retrieve the mapping configuration for a specific index.
• get_settings: Get the settings configuration for a specific index.

Document Operations

• search_documents: Search documents in an index using Elasticsearch Query DSL.

Cluster Operations

• get_cluster_health: Get health status of the cluster.
• get_cluster_stats: Get statistical information about the cluster.

Start Elasticsearch Cluster

Start the Elasticsearch cluster using Docker Compose:

docker-compose up -d

This will start a 3-node Elasticsearch cluster and Kibana. Default Elasticsearch username elastic, password test123.

You can access Kibana from https://localhost:5601.

Usage with Claude Desktop

1. Add the following configuration to Claude Desktop's config file claude_desktop_config.json:

{
  "mcpServers": {
    "elasticsearch": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/elasticsearch_mcp_server/src",
        "run",
        "server.py"
      ],
      "env": {
        "ELASTIC_HOST": "<your_elastic_url>",
        "ELASTIC_USERNAME": "<your_elastic_username>",
        "ELASTIC_PASSWORD": "<your_elastic_password>>"
      }
    }
  }
}

• On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• On Windows: %APPDATA%/Claude/claude_desktop_config.json

3. Restart Claude Desktop to load the new MCP server.

Now you can interact with your Elasticsearch 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"