prometheus-mcp and mcp-grafana
One tool is a Python implementation of an MCP server for Prometheus metrics, while the other is a TypeScript/npm implementation of an MCP server specifically for Grafana, making them ecosystem siblings that provide different language/platform solutions for the same Model Context Protocol.
About prometheus-mcp
idanfishman/prometheus-mcp
A Model Context Protocol (MCP) server implementation that provides AI agents with programmatic access to Prometheus metrics via a unified interface.
This project integrates your AI assistant with Prometheus, allowing you to ask natural language questions about your monitoring data. You can input requests like "What's the CPU usage on server X?" and receive real-time metrics and insights directly from Prometheus. Site reliability engineers, DevOps professionals, and system administrators can use this to quickly understand system performance and health.
About mcp-grafana
0xteamhq/mcp-grafana
MCP (Model Context Protocol) server for Grafana - TypeScript/npm implementation with 43+ tools for dashboards, alerts, incidents, and observability
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