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Mcp Server Prometheus

@loglmhqon 9 months ago
14 MIT
FreeCommunity
AI Systems
#mcp#mcp-server#modelcontextprotocol
MCP server for interacting with Prometheus

Overview

What is Mcp Server Prometheus

mcp-server-prometheus is an MCP server designed to interact with Prometheus metrics and data. It acts as a bridge between Claude and your Prometheus server using the Model Context Protocol (MCP).

Use cases

Use cases for mcp-server-prometheus include monitoring and analyzing Prometheus metrics in real-time, integrating Prometheus data with applications using the MCP, and providing structured access to metric information for developers.

How to use

To use mcp-server-prometheus, you need to configure it with the base URL of your Prometheus instance and optionally provide basic authentication credentials. After installation, add the server configuration to Claude Desktop’s config file.

Key features

Key features include listing and accessing Prometheus metric schemas, detailed metadata for each metric, current statistical information (count, min, max), and support for basic authentication for secured Prometheus instances.

Where to use

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Content

mcp-server-prometheus

MCP server for interacting with Prometheus metrics and data.

This is a TypeScript-based MCP server that implements a Prometheus API interface. It provides a bridge between Claude and your Prometheus server through the Model Context Protocol (MCP).

mcp-server-prometheus MCP server

Demo

demo

Features

Resources

  • List and access Prometheus metric schema
  • Each metric resource provides:
    • Metric name and description
    • Detailed metadata from Prometheus
    • Statistical information (count, min, max)
  • JSON mime type for structured data access

Current Capabilities

  • List all available Prometheus metrics with descriptions
  • Read detailed metric information including:
    • Metadata and help text
    • Current statistical data (count, min, max values)
  • Basic authentication support for secured Prometheus instances

Configuration

The server requires the following environment variable:

  • PROMETHEUS_URL: The base URL of your Prometheus instance

Optional authentication configuration:

  • PROMETHEUS_USERNAME: Username for basic auth (if required)
  • PROMETHEUS_PASSWORD: Password for basic auth (if required)

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-server-prometheus": {
      "command": "/path/to/mcp-server-prometheus/build/index.js",
      "env": {
        "PROMETHEUS_URL": "http://your-prometheus-instance:9090"
      }
    }
  }
}

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

API Structure

The server exposes Prometheus metrics through the following URI structure:

  • Base URI: http://your-prometheus-instance:9090
  • Metric URIs: http://your-prometheus-instance:9090/metrics/{metric_name}

Each metric resource returns JSON data containing:

  • Metric name
  • Metadata (help text, type)
  • Current statistics (count, min, max)

Tools

No tools

Comments

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