MCP Prometheus Server

@drewstreib

Repository

Basic information

About MCP Prometheus Server

A sophisticated MCP server for Prometheus queries demonstrating advanced Haskell practices

#mcp-prom-haskell#prometheus#haskell-server

MCP Prometheus Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-prom-haskell": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-prometheus-server",
        "."
      ]
    }
  }
}

MCP Prometheus Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Prometheus Server?

A production-ready Model Context Protocol (MCP) server implementation in Haskell that provides Claude Desktop with access to Prometheus metrics and queries. It offers five tools for querying, discovering, and exploring Prometheus metrics, built with strict exception handling and thread-safe patterns.

How to use MCP Prometheus Server?

Install using the pre-built binary, build from source with GHC 9.12+ and Cabal, or run via Docker. Configure Claude Desktop by adding an entry in claude_desktop_config.json pointing to the server binary with the --prometheus-url argument pointing to your Prometheus instance.

Key features of MCP Prometheus Server

Seamless Claude Desktop integration via MCP protocol
Five tools: query, query range, series, metrics, labels
Production-ready error handling and logging
Thread-safe execution with strict evaluation
Pre-built binary, source build, and Docker options
Comprehensive test suite with unit and integration tests
BSD 3-Clause open source license

Use cases of MCP Prometheus Server

Ask Claude "What's the current CPU usage?" using instant PromQL queries
Visualize memory usage trends over the last hour with range queries
Discover available metric names in your Prometheus instance
Find time series matching specific label selectors
Explore all label names used across metrics for filtering

Frequently asked questions

What dependencies are required to build from source?

GHC 9.12+ and Cabal 3.0+ are required; GHCup is recommended for installation.

How do I configure the Prometheus server URL?

Set the `PROMETHEUS_URL` environment variable or use the `--prometheus-url` command-line option (default: `http://your-prometheus-server:9090`).

What should I do if the Docker container exits immediately?

The MCP server expects stdio interaction; use the `-it` flags when running the container.

Can I connect to a Prometheus server on a different network with Docker?

Yes, ensure both containers are on the same Docker network by using `--network` flags.

Is the server compatible with JSON-RPC notifications?

Yes, it properly handles notifications without returning responses per the JSON-RPC specification.

Comments

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