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:

2. Running the MCP Server

Test using MCP Inspector

or

Run the mcp server by

and run mcp client in another terminal by

or

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

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.