About mcp
A Python implementation of an Elasticsearch MCP server for users who want to connect Claude desktop to an Elasticsearch instance. Setup uses a `.env` file and Make commands.
Key features
- 01Python-based Elasticsearch MCP server
- 02`.env` configuration
- 03Claude desktop setup commands
Use cases
- 01Connecting Claude desktop to Elasticsearch
- 02Running an Elasticsearch MCP server locally
MCP support
Exposes an Elasticsearch MCP server for MCP clients. The README describes configuring it for Claude desktop.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp
Python implementation of an Elasticsearch MCP server
Quick Start
Make sure you have Claude desktop installed and an instance of Elasticsearch running, and configure the .env appropriately.
Run:
make add-claude-config
make run
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.