Grafana MCP vs Slack MCP Server

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

	Grafana MCP MCP Servers	Slack MCP Server MCP Servers
Tagline	Official Grafana Labs MCP server — dashboards, Prometheus, Loki, alerts and incidents in your LLM client	Archived reference MCP server that lets Claude and other MCP clients read and post in a Slack workspace via a bot token.
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.	Free· Free / open-source (MIT). Requires a Slack workspace and a Slack bot token; Slack itself is free/paid.
Model	—	—
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	Channel triage and summarisationAutomated thread digestsPosting AI-generated status updatesCross-channel search and reportingStandup and retro note postingOn-call escalation repliesUser and profile lookup for routingReaction-based workflow signallingMCP server reference implementation
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 reference implementation from the modelcontextprotocol project — small, readable TypeScript that documents the MCP tool pattern well Covers the eight highest-value Slack primitives (list, post, reply, react, history, thread, users, profile) with minimal ceremony Ships as both an npx package and a Docker image, so it drops straight into Claude Desktop, Cursor, or any MCP client with a JSON config snippet Standard Slack bot-token auth (xoxb-) with clearly scoped OAuth permissions — easy to reason about and to revoke Open-source under MIT, so forking or vendoring for internal hardening is straightforward Good starting point for learning how to write your own MCP server against a REST API
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	Archived by the maintainer on 29 May 2025 — no upstream bug fixes, security patches, or Slack API compatibility updates Read-only surface for channels (public channels only by default) and no DM, private-channel, search, files, or canvas support out of the box No pagination helpers or rate-limit backoff beyond what the Slack SDK provides, so bulk history pulls in large workspaces can be fragile Requires a workspace admin to install a bot app and mint a token, which is a real blocker in locked-down enterprise Slack tenants Bot-token model means every action is attributed to the bot user, not the human operating the assistant, which complicates audit trails
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 Slack MCP Server if

✅ Official reference implementation from the modelcontextprotocol project — small, readable TypeScript that documents the MCP tool pattern well
✅ Covers the eight highest-value Slack primitives (list, post, reply, react, history, thread, users, profile) with minimal ceremony
✅ Ships as both an npx package and a Docker image, so it drops straight into Claude Desktop, Cursor, or any MCP client with a JSON config snippet
✅ Standard Slack bot-token auth (xoxb-) with clearly scoped OAuth permissions — easy to reason about and to revoke

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