MCP Everything Server vs Sentry MCP

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

	MCP Everything Server MCP Servers	Sentry MCP MCP Servers
Tagline	The kitchen-sink reference MCP server that exercises every corner of the Model Context Protocol	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 (MIT License). No cloud service or paid tier — you run it locally via npx, Docker, or your MCP client of choice.	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	MCP client conformance testingRegression testing of stdio and Streamable HTTP transportsVerifying sampling round-trip behavior in a new agent hostDebugging elicitation UI in an IDE integrationReference reading for authoring a new MCP serverDemoing MCP primitives in workshops and talksSmoke-testing cancellation and progress-notification handlingValidating resource-subscription update delivery	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	Only server that exercises the full MCP feature matrix in one place — tools, resources, prompts, sampling, elicitation, roots, logging, subscriptions, and Tasks Maintained by the Model Context Protocol project itself, so behavior tracks the spec as it evolves (SEP-1686 Tasks, Streamable HTTP, etc.) Runs anywhere an MCP client runs — npx, Docker, Claude Desktop, VS Code, Cursor, Windsurf — with stdio or HTTP transports TypeScript source is short and readable, making it a de-facto reference for how each handler should be shaped MIT-licensed, no telemetry, no signup, no cloud dependency Includes progress notifications and cancellation flows that most tutorial servers skip, so client cancel/timeout logic can be exercised properly	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	Explicitly not useful for end users — it does not do anything a human would actually want done Feature drift means some primitives (SEP-1686 Tasks, elicitation) may not yet be implemented in every client, producing red herrings during testing Documentation is a single features.md; there is no guided tour that maps each tool to the spec section it exercises TypeScript-only reference — Python or Rust client authors have to translate patterns themselves Sampling and elicitation flows depend on the client honoring them, so a silent client makes it hard to tell whether the server or the client is at fault	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 MCP Everything Server if

✅ Only server that exercises the full MCP feature matrix in one place — tools, resources, prompts, sampling, elicitation, roots, logging, subscriptions, and Tasks
✅ Maintained by the Model Context Protocol project itself, so behavior tracks the spec as it evolves (SEP-1686 Tasks, Streamable HTTP, etc.)
✅ Runs anywhere an MCP client runs — npx, Docker, Claude Desktop, VS Code, Cursor, Windsurf — with stdio or HTTP transports
✅ TypeScript source is short and readable, making it a de-facto reference for how each handler should be shaped

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

Compare a different pair →