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Prometheus MCP Server

by moohoorama
GitHub
Python
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Integrations

  • Enables access to Prometheus monitoring and time-series data through an MCP server, allowing AI assistants to query metrics, analyze performance data, and interact with Prometheus instances.

Prometheus MCP Server

A tool that allows access to Prometheus data through a Model Context Protocol server.

Installation

pipx install git+https://github.com/moohoorama/prometheus-mcp-server-py.git

Run Without Installation

You can also run the package directly without installing it using pipx run:

pipx run --spec git+https://github.com/moohoorama/prometheus-mcp-server-py.git prometheus-mcp --url http://your-prometheus-server:9090

This is useful for testing or one-time usage scenarios.

Usage

# Command line arguments prometheus-mcp --url http://your-prometheus-server:9090 \ --username username \ --password password # Or prometheus-mcp --url http://your-prometheus-server:9090 \ --token your-token

Command Line Arguments

  • --url: Prometheus server URL (required)
  • --username: Username for basic authentication (optional)
  • --password: Password for basic authentication (optional)
  • --token: Token for authentication (optional)
  • --org-id: Organization ID for multi-tenant setups (optional)

This server cannot be installed

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security - not tested
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license - not found
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A tool that enables access to Prometheus metrics data through a Model Context Protocol server, allowing interaction with monitoring data using natural language.

  1. Installation
    1. Run Without Installation
  2. Usage
    1. Command Line Arguments

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