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.

prometheus-mcp
50
Established
mcp-grafana
34
Emerging
Maintenance 10/25
Adoption 6/25
Maturity 18/25
Community 16/25
Maintenance 2/25
Adoption 2/25
Maturity 16/25
Community 14/25
Stars: 24
Forks: 6
Downloads: —
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 2
Forks: 3
Downloads: —
Commits (30d): 0
Language: TypeScript
License: —
No risk flags
No License Stale 6m No Dependents

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.

Supports both stdio and HTTP transports with configurable tool categories (discovery, info, query) that can be selectively enabled based on security requirements. Integrates directly with Prometheus APIs using structured JSON responses optimized for LLM consumption, and deploys across VS Code, Cursor, Windsurf, Claude Desktop, and Docker environments.

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

Related comparisons

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