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Grafana MCP

Grafana MCP is the official Model Context Protocol server from Grafana Labs.

  • Network Services
  • Productivity
  • Tools & Utilities
Grafana MCP is the official Model Context Protocol server from Grafana Labs. It exposes your Grafana instance to AI assistants and other MCP clients through a single endpoint, so a client such as Claude can search dashboards, run Prometheus and Loki queries, inspect datasources, review alert rules and incidents, explore profiles, and more, using scoped tools instead of raw API calls. The container runs the server in SSE transport mode on port 8000 and serves the MCP endpoint at /sse. It needs a reachable Grafana instance and a Grafana service account token to authenticate. This is a headless server with no browsable web interface: point your MCP client at http://[Unraid-IP]:8000/sse.

Platform availability

Available on 2 of 9 platforms

  • Unraid
  • TrueNAS (not listed)
  • Umbrel (not listed)
  • ZimaOS (not listed)
  • Proxmox (not listed)
  • Helm
  • Mac (not listed)
  • Windows (not listed)
  • Linux (not listed)

Health score?A 0-100 score computed nightly from four factors: maintained (40%: recent commits and steady activity), popular (25%: GitHub stars, log scale), easy to install (20%: platforms, install notes, setup guides, Docker image) and light to run (15%: minimum RAM, ARM support). When the source code has been checked, a fifth factor, security check (20%: automated scan for committed secrets, unsafe desktop-app settings, known-vulnerable dependencies and project hygiene; any serious finding caps it at 20), is added. Factors without data are left out and the rest are rescaled.

81/100 Excellent

Maintained
100last commit 7 days ago
Popular
713,530 GitHub stars
Easy to install
452 install platforms, install notes, Docker image
Light to run
95512 MB minimum RAM, runs on ARM

Availability: platform listings confirmed today, links checked 16 days ago

GitHub stars
3,530
Open issues
73
Last commit
2026-10-06
Latest release
v2.0.1
License
Apache-2.0
Activity
rising

Checked 7 days ago - source: GitHub (grafana/mcp-grafana)

Resources & Compatibility

Minimum requirements: 512 MB RAM, 1 CPU core(s). ARM (e.g. Raspberry Pi) is supported.

Checked 15 days ago - source: Docker Hub image tags and published docs

First-install notes

  • Connect your MCP client This is a headless server with no browsable web UI. The container serves the MCP endpoint over SSE on port 8000 at /sse (point your client at http://[Unraid-IP]:8000/sse) and requires a reachable Grafana instance plus a Grafana service account token. The official docs note STDIO mode (e.g. via uvx) is often preferred for direct integration with AI assistants such as Claude Desktop. source

Fetched 5 days ago - each note links to its source

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Checked yesterday - source: AlternativeTo

Common questions

Which AI clients can connect to the Grafana MCP server?

The docs describe using MCP-compatible clients such as Claude Desktop, Cursor, or VS Code with Copilot to talk to Grafana.

What Grafana settings are needed to deploy it against Grafana OSS?

You configure the Grafana URL and an API token. The community thread also discusses setting an admin service account for an OSS instance.

What Grafana version compatibility issue is documented for older instances?

Grafana versions earlier than 9.0 can produce datasource errors with the open source MCP server.

What kinds of deployment problems are covered in the troubleshooting page?

The page covers connection errors, authentication failures, TLS configuration, and environment-specific hurdles.

Answers sourced from community.grafana.com, deepwiki.com, grafana.com, grafana.com

Community

Collected 9 days ago - public community threads