Prometheus MCP

Prometheus MCP

By etruong42 GitHub

MCP server to connect LLMs with Prometheus HTTP API

Overview

What is Prometheus MCP?

Prometheus MCP is a proof-of-concept server designed to connect Large Language Models (LLMs) with the Prometheus HTTP API, facilitating seamless integration and interaction.

How to use Prometheus MCP?

To use Prometheus MCP, clone the repository, update the .env file, and run the server using the provided commands. Ensure you have the necessary prerequisites installed, such as uv and Python.

Key features of Prometheus MCP?

  • Connects LLMs with Prometheus API
  • Easy setup and integration with existing systems
  • Supports various commands for server management

Use cases of Prometheus MCP?

  1. Integrating LLMs into applications that require data from Prometheus.
  2. Enhancing data analysis capabilities by leveraging LLMs with Prometheus metrics.
  3. Building intelligent applications that can query and interpret Prometheus data.

FAQ from Prometheus MCP?

  • What are the prerequisites for using Prometheus MCP?

You need to install uv and Python to run the server.

  • How do I run the server?

Use the command uv --directory "/directory/to/prometheus-mcp" run server.py after setting up your environment.

  • Is there a demo available?

Yes! A demo video is provided in the documentation.

Overview

What is Prometheus MCP?

Prometheus MCP is a proof-of-concept server designed to connect Large Language Models (LLMs) with the Prometheus HTTP API, facilitating seamless integration and interaction.

How to use Prometheus MCP?

To use Prometheus MCP, clone the repository, update the .env file, and run the server using the provided commands. Ensure you have the necessary prerequisites installed, such as uv and Python.

Key features of Prometheus MCP?

  • Connects LLMs with Prometheus API
  • Easy setup and integration with existing systems
  • Supports various commands for server management

Use cases of Prometheus MCP?

  1. Integrating LLMs into applications that require data from Prometheus.
  2. Enhancing data analysis capabilities by leveraging LLMs with Prometheus metrics.
  3. Building intelligent applications that can query and interpret Prometheus data.

FAQ from Prometheus MCP?

  • What are the prerequisites for using Prometheus MCP?

You need to install uv and Python to run the server.

  • How do I run the server?

Use the command uv --directory "/directory/to/prometheus-mcp" run server.py after setting up your environment.

  • Is there a demo available?

Yes! A demo video is provided in the documentation.

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