prometheus_mcp_server

prometheus_mcp_server

27
databasesdeveloper_tools

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.

MCP Server for Prometheus

A Model Context Protocol (MCP) server for retrieving data from Prometheus databases. This server allows Large Language Models to perform tasks such as metric data retrieval, metric analysis, usage search, and complex querying.

  • Features:
    • Data Retrieval: Fetch metrics from Prometheus.
    • Metric Analysis: Perform statistical analysis.
    • Usage Search: Explore metric usage patterns.
    • Complex Querying: Execute advanced PromQL queries.

Capabilities

  • Retrieve comprehensive metric information.
  • Analyze metric data within custom time ranges.
  • Future feature development includes improved data filtering.

Getting Started

  • Install via Smithery or manually set up a Python virtual environment.
  • Ensure pip and required packages are installed.

Usage

  • Configure for use with Cursor Environment or Claude Desktop.
  • Operate as a standalone MCP server with uv or regular Python methods.

Contributing

  • Fork the repository.
  • Create a feature branch, commit, push, and open a Pull Request.

License

MIT License

References & Acknowledgments

  • Uses code from Prometheus API Client and is inspired by MySQL MCP Server.