mcp-grafana
MCP server for Grafana
Query errors, logs, metrics and traces (Sentry, Grafana, Datadog, Logfire) so your assistant can debug production issues. We compared 9 Observability & Monitoring MCP servers — 8 updated in the last 90 days, 5 with one-click install — ranked by relevance and GitHub stars.
Top 9 by relevance. Status: maintained = commit in the last 90 days.
| Server | Stars | Status | Updated | Install | API key |
|---|---|---|---|---|---|
| mcp-grafanagrafana | ★ 3.6k | Maintained | today | One-click | Likely |
| Sentry MCPgetsentry | ★ 928 | Maintained | today | One-click | Likely |
| prometheus-mcp-serverpab1it0 | ★ 518 | Maintained | 2 days ago | Command | Likely |
| Logfire MCPpydantic | ★ 161 | Aging | 3 months ago | One-click | Not mentioned |
| nightingaleccfos | ★ 13.3k | Maintained | today | See README | Not mentioned |
| mcp-context-forgeIBM | ★ 4.6k | Maintained | today | One-click | Likely |
| trpc-agent-gotrpc-group | ★ 1.9k | Maintained | today | See README | Likely |
| golfgolf-mcp | ★ 840 | Maintained | 1 month ago | Command | Likely |
| mcpsnoopkerlenton | ★ 360 | Maintained | 6 days ago | One-click | Not mentioned |
Showing all 9 servers
MCP server for Grafana
Official Sentry tooling for agents: search issues and errors, inspect stack traces and events, and debug production problems from your AI assistant.
A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
Official Pydantic Logfire server: query traces, metrics and exceptions with SQL so your assistant can debug your app from real telemetry.
Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
Wireshark for MCP. A transparent proxy between your AI client and MCP server. Watch every call live in your terminal, fail CI on what it finds, export OpenTelemetry spans.
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Based on GitHub stars and recent activity, mcp-grafana by grafana (★ 3.6k, updated today) is the most popular actively maintained option on HookMCP, followed by Sentry MCP and prometheus-mcp-server. The right choice depends on whether you need write access, a hosted (remote) endpoint, or a server that runs locally without an API key.
Yes — mcp-grafana by grafana, Sentry MCP by getsentry, Logfire MCP by pydantic are published by the vendor or the MCP project. Official servers are usually the safest first install.
Open the server's page on HookMCP, choose your client tab (Claude Desktop, Cursor, VS Code or Claude Code) and copy the config — 5 of the 9 servers here have one-click install links for Cursor and VS Code. Restart your AI app and the new tools appear automatically.
6 of 9 servers here mention API keys or tokens in their README; 3 don't mention any. Check each listing's Details panel, and pass keys as environment variables rather than pasting them into chat.
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