Demo

https://github.com/user-attachments/assets/907c3f6f-807c-4805-879a-649c74804c29

Elastic MCP

Connect to your Elasticsearch cluster from any MCP-compatible client (such as Claude Desktop) using the Model Context Protocol (MCP). This server exposes your Elasticsearch data and operations via the MCP interface, enabling agents and applications to query, manage, and analyze your data through natural language interactions.

1. Setup

Prerequisites

Python 3.8+
Elasticsearch running and accessible
uv or pip for dependency management

Install dependencies

Using uv package manager:

uv pip install -r requirements.txt

2. Running the MCP Server

Test using MCP Inspector

ELASTIC_URL="http://localhost:9200" ELASTIC_USERNAME="your_username" ELASTIC_PASSWORD="your_password" fastmcp dev tools/elastic_tool.py

Run the mcp server by

ELASTIC_URL="http://localhost:9200" ELASTIC_USERNAME="elastic" ELASTIC_PASSWORD="hKsXqDsd" python3 tools/elastic_tool.py

and run mcp client in another terminal by

python3 mcp_client.py

Add to the Claude Desktop by editing the claude_desktop_config.json and add the following code snippet


{
  "mcpServers": {
    "Elastic MCP Server": {
      "command": "uv",
      "args": [
        "run",
        "--with-requirements",
        "<absolute path to requirements.txt>",
        "fastmcp",
        "run",
        "<absolute path to elastic_tool.py>"
      ],
      "env": {
        "ELASTIC_URL": "http://localhost:9200",
        "ELASTIC_USERNAME": "your_username",
        "ELASTIC_PASSWORD": "your_password"
      }
    }
  }
}

3. Tools Provided

search_index: Search an index with a query string.
list_indices: List all indices (excluding system indices).
get_index_mappings: Get mappings for a specific index.

4. License

MIT License

5. Notes

For production, do not hardcode credentials.
For more info on MCP, see FastMCP documentation.