mcpField
P
Prometheus MCP

Prometheus MCP

Local
github.com/etruong42Developer Tools1Updated 79w ago
Repository

About Prometheus MCP

A proof-of-concept MCP server for connecting LLMs to the Prometheus HTTP API. The README describes running it with `uv` and configuring it for Claude.

Key features

  1. 01Prometheus HTTP API connection
  2. 02Run with `uv`
  3. 03Claude MCP configuration

Use cases

  1. 01Connect an LLM to Prometheus
  2. 02Try a Prometheus MCP server with Claude

MCP support

Acts as an MCP server connecting LLMs with the Prometheus HTTP API; the README describes adding it to Claude's MCP server configuration.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Prometheus MCP

Proof-of-concept Prometheus MCP server.

Prerequisites

Install uv: https://docs.astral.sh/uv/getting-started/installation/

Using uv, you can also install python.

How to run

Clone this repo.

Update the .env file

uv add "mcp[cli]" pillow google-auth matplotlib requests python-dotenv

Integrating with Claude

You can run the server with

uv --directory "/directory/to/prometheus-mcp" run server.py

So you may add this MCP server to your Claude MCP server configuration

{
  "mcpServers": {
      "Prometheus MCP": {
          "command": "/path/to/uv",
          "args": [
              "--directory",
              "/directory/to/prometheus-mcp",
              "run",
              "server.py"
          ]
      }
  }
}

See MCP Quickstart for more details for Claude specific instructions.

Demo

Demo gif

Link to shared Claude chat in demo

Comments

Markdown supported

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.