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Research & retrieval · Observability retrieval and control · mcp
Grafana MCP
Grafana’s MCP server for querying dashboards, metrics, and incident context from Grafana instances.
Overall score
82
grafanamcpobservability
Setup difficulty
Moderate
Install method
pip · hybrid
Supported providers
OpenAI · Anthropic · Google · Any provider
Supported hosts
Grafana Cloud · Grafana OSS · MCP clients
Permission posture
high
Last verified
Apr 10, 2026
Score breakdown
Utility84
Compatibility82
Ease of setup78
Reliability84
Docs quality80
Adoption79
Safety & maintenance78
Scores combine benchmark signals, product experience, and editorial weighting. Use them as a practical guide, not an absolute truth claim.
Best for
ResearchAgent automation
Works with
Grafana CloudPrometheus-backed dashboardsClaude Desktop
Capabilities
dashboard searchdashboard summariesmetric accessincident context
Sources & trust
Officially verified registry fields
SummaryDescriptionInstall methodDeployment modelSupported hostsAuthPermission postureRepositoryOfficial link
Editorial guidance like best-fit recommendations, strengths, caveats, and scoring is kept separate from official registry facts.
Grafana MCP docs
Official docs · Tier 5 · Apr 10, 2026
SummaryDescriptionInstall methodDeployment modelSupported hostsAuthPermission posture
Grafana MCP repo
GitHub · Tier 5 · Apr 10, 2026
Repository
Grafana MCP official
Official site · Tier 5 · Apr 10, 2026
Official link
Grafana MCP VerdictLens review
Manual review · Tier 3 · Apr 10, 2026
Best-fit guidanceWorks-with guidanceCapabilitiesPermission postureOverall score
Strengths
- Useful for teams that want AI access to real operational context instead of screenshots or summaries.
- Official Grafana repo plus developer guidance made the integration legible enough to promote.
Things to watch
- Less broadly applicable than general-purpose search or browser tools.
- Access to dashboards and incidents can expose sensitive production details.
Best for
Research synthesis & analyst workflows
Prioritize source grounding, multilingual reading, long-context reasoning, and a retrieval stack that stays inspectable.
Agent automation & operations
Prioritize tool reliability, composability, secret handling, and robust state management across long-running flows.