Grafana MCP vs Sentry MCP

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Grafana MCP MCP Servers	Sentry MCP MCP Servers
Tagline	Official Grafana Labs MCP server — dashboards, Prometheus, Loki, alerts and incidents in your LLM client	Official Sentry MCP server: give Claude Code, Cursor, and other AI agents real access to your errors, traces, and triage.
Category	MCP Servers	MCP Servers
Pricing	Free· Free and open source (Apache 2.0). You still need a Grafana instance — OSS Grafana is free; Grafana Cloud has a free tier plus paid Pro/Advanced/Enterprise plans.	Freemium· Free: $0 USD · Team: $4 USD per user/month · Enterprise: $21 USD per user/month
Model	—	Bring-your-own LLM (OpenAI, Anthropic, Azure OpenAI, or OpenRouter) for natural-language search skills; agent-side model is whatever your MCP client runs.
Editorial score	—	—
Use cases	Incident investigation from Claude DesktopConversational PromQL and LogQL queryingDashboard search and summarisationPanel screenshot analysis by vision LLMsAlert rule and notification policy reviewOn-call schedule lookupsSift automated error-pattern triageCursor / VS Code observability copilotMulti-tenant SSE server for internal agentsGrafana Incident timeline updates from an agent	Debug production error from IDE agentRoot-cause a latency regression via trace lookupTriage new issues (assign, resolve, comment) from chatCorrelate a failing test with recent Sentry eventsNatural-language search across eventsPost-deploy error-rate investigationPull stack trace and open the offending file for a fixSummarize top issues for a standupQuery self-hosted Sentry from an internal coding agent
Pros	Official Grafana Labs project, actively developed with 3k+ GitHub stars and Apache-2.0 licensing Broad coverage: dashboards, alerts, incidents, on-call, Sift, annotations, snapshots, plus native query support for Prometheus, Loki, and eight SQL/timeseries backends Panel PNG rendering lets vision-capable LLMs actually see charts, not just JSON Three transports (stdio, SSE, Streamable HTTP) cover single-user desktop and multi-client server deployments Per-tool enable list and --disable-write flag make it safe to hand to autonomous agents against production Grafana Works out of the box with Claude Desktop, Cursor, VS Code and any MCP-spec client via uvx or Docker	Official first-party server from Sentry — kept in step with API changes, not a community wrapper Both a hosted remote endpoint (mcp.sentry.dev, OAuth or Bearer) and a local stdio binary via npx Works with self-hosted Sentry, not only sentry.io One-line install for Claude Code through the Sentry plugin marketplace; also documented for Cursor and MCP Inspector Fine-grained skill toggles let you scope which tools the agent can call Covers the full debugging loop: issues, events, traces, search, and triage actions like assign/resolve/comment Open source, so the tool surface and prompts can be audited or extended
Cons	Requires Grafana 9.0+ and a service account token — no value without an existing Grafana deployment Many powerful tools are disabled by default and must be explicitly enabled, which is safer but adds config friction Broad tool surface can flood a model's context window; you often need to curate which tools are exposed per assistant PromQL/LogQL/SQL responses are raw datasource output — the LLM still has to reason about large result sets, which burns tokens fast Not a hosted service: you run and secure the process yourself, and network reachability to Grafana is your problem	You still need a paid Sentry plan to get useful volumes of events, retention, and org seats Natural-language search tools require you to bring your own OpenAI/Anthropic/Azure/OpenRouter key — extra cost and setup Value collapses if your team is not already invested in Sentry as its error/APM backend Remote server is single-tenant per token — sharing across a team means each engineer wires their own auth MCP itself is still young; some clients handle remote servers with headers imperfectly and stdio is often the fallback Read/write tools mean a misbehaving agent can resolve or reassign real issues — human-in-the-loop is not optional
Website	github.com	github.com

Pick Grafana MCP if

✅ Official Grafana Labs project, actively developed with 3k+ GitHub stars and Apache-2.0 licensing
✅ Broad coverage: dashboards, alerts, incidents, on-call, Sift, annotations, snapshots, plus native query support for Prometheus, Loki, and eight SQL/timeseries backends
✅ Panel PNG rendering lets vision-capable LLMs actually see charts, not just JSON
✅ Three transports (stdio, SSE, Streamable HTTP) cover single-user desktop and multi-client server deployments

Pick Sentry MCP if

✅ Official first-party server from Sentry — kept in step with API changes, not a community wrapper
✅ Both a hosted remote endpoint (mcp.sentry.dev, OAuth or Bearer) and a local stdio binary via npx
✅ Works with self-hosted Sentry, not only sentry.io
✅ One-line install for Claude Code through the Sentry plugin marketplace; also documented for Cursor and MCP Inspector

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