prometheus_mcp_server
The MCP Server for Prometheus is designed to facilitate data retrieval and analysis from Prometheus databases, enabling large-scale metric management and complex querying capabilities for advanced data exploration. It enhances the functionality of Large Language Models with robust data handling features.
What is the primary function of the MCP Server for Prometheus?
The primary function is to enable LLMs to retrieve and analyze metric data from Prometheus databases, allowing for complex querying and data exploration.
How can I install the Prometheus MCP Server?
You can install it automatically via Smithery using the command npx -y @smithery/cli install @CaesarYangs/prometheus_mcp_server --client claude or manually by setting up a Python virtual environment and installing the required packages.
What are the capabilities of this MCP server?
It can retrieve comprehensive metric information, fetch and analyze specific metric data, and analyze data within custom time ranges. Label-based data filtering is in development.
Can I run the MCP Server standalone?
Yes, you can run it standalone using either the uv method or the regular Python method by executing python3 server.py.
Is there a way to contribute to the project?
Yes, contributions are welcome. You can fork the repo, create a feature branch, commit your changes, push to the branch, and open a Pull Request.