Install Now
prometheus-mcp-server-py
Access and query Prometheus monitoring data through a Model Context Protocol server, enabling secure retrieval of metrics with authentication support and multi-tenant configurations. Streamlines the integration of Prometheus data into LLM-based applications and workflows.
Author
kakao-yanoo-kim
No License
Quick Info
GitHub Stars 1
Weekly Downloads 0 Tools 1
Last Updated 2026-02-19
Actions
Tags
prometheusworkflowsmonitoringprometheus dataquery prometheusprometheus monitoring
Prometheus MCP Server
A tool that allows access to Prometheus data through a Model Context Protocol server.
Installation
Installing via Smithery
To install Prometheus Data Access Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kakao-yanoo-kim/prometheus-mcp-server-py --client claude
Manual Installation
pipx install git+https://github.com/kakao-yanoo-kim/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/kakao-yanoo-kim/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)--timeout: Evaluation timeout in seconds (default: 30)--limit: Maximum number of returned series (default: 1000)