Python implementation of an Elasticsearch MCP server
Overview
what is MCP?
MCP is a Python implementation of an Elasticsearch MCP server designed to facilitate the management and configuration of Elasticsearch instances.
how to use MCP?
To use MCP, ensure you have Claude desktop installed and an instance of Elasticsearch running. Configure the .env file appropriately, then run the commands:
make add-claude-configmake run
key features of MCP?
- Easy integration with Elasticsearch for configuration management.
- Simple command-line interface for running and managing the server.
- Supports configuration through environment variables.
use cases of MCP?
- Managing Elasticsearch configurations in a development environment.
- Automating the setup of Elasticsearch instances.
- Facilitating quick deployments of Elasticsearch servers.
FAQ from MCP?
- What is required to run MCP?
You need Claude desktop and an instance of Elasticsearch running.
- Is MCP open-source?
Yes, MCP is available on GitHub and can be freely used and modified.
- How do I contribute to MCP?
You can contribute by submitting issues or pull requests on the GitHub repository.