MCP ServerHTTP

Sentry MCP Server

Sentry provides a remote MCP at mcp.sentry.dev/mcp (streamable HTTP) that lets a model work with the same issue and event data you use in the Sentry console: searching issues, opening stack traces, and reasoning about which release or deploy introduced a regression. Create an org-scoped token with the read scopes you need, then connect an MCP client and ask questions in natural language instead of hand-building queries.

Try Sentry in Agent Studio Sentry product documentation

Hosted URL

https://mcp.sentry.dev/mcp

Suggested model

Claude Sonnet 4.5

Chat with 60+ AI models on the same workflow — switch to a different model mid-conversation and re-run the same prompt, or use Compare mode to put several side-by-side and balance quality vs. cost.

Auth

Sentry org auth token (Settings → Account or Organization → Auth Tokens) with at least `project:read` and `event:read` for the projects you will query.

What the Sentry MCP server does

How models use it and what it is built for.

Sentry’s MCP is aimed at on-call, engineering leads, and support engineers who need quick answers: what new errors showed up in the last release, which issue is the user-facing 500, or whether two crash groups are the same root cause. The server mirrors Sentry’s permission model, so a token that can only read a single project will not exfiltrate the rest of the org. Pair it with GitHub or Linear MCP when you need to jump from a stack trace to a PR and a Jira follow-up, all in one session.

Tools the Sentry MCP server exposes

Typical tools an AI model can call. Exact names vary by version.

Search and list issues by project, environment, and time window
Fetch event payloads and stack traces for a selected issue
Inspect release, deploy, and commit metadata tied to a regression
Summarise trends (volume spikes, new versus recurring) the API exposes to the tool layer

Example prompts to try

Copy any of these into MCP Agent Studio after connecting.

What new errors appeared in production after the 14:00 UTC deploy?
Summarise the top 5 issues by event volume in the web client for the last 24 hours.
Which issue matches this Sentry event URL, and which release first showed it?
Are these two Sentry issues duplicates of the same line in `checkout.py`?

Models on MCP Playground

This is not a single-model product: you get the same MCP connection with 60+ models (Claude, GPT, Gemini, DeepSeek, open-weight, and more), you can switch mid-conversation, and you can open Compare mode to run the same prompt against multiple models at once. The card above is a suggested starting point for this server — not the only choice.

Default pick for Sentry

Claude Sonnet 4.5

Claude Sonnet 4.5 handles stack traces, release correlation, and long error threads well. For simple “get issue 1234” fetches, Haiku 4.5 is often enough.

Open Compare mode (side-by-side)Try this server in Agent Studio

Check an AI agent can actually use the Sentry MCP server

Listing tools proves the server is reachable, not that a model can work with it. Evals go further: they read every tool on the server, write a test suite from its real schemas, and run it — code decides pass/fail on the responses (schema conformance, error codes, pagination, result caps) while a scoring model grades plain-English tasks driven through the tools.

Get a pass/fail report per tool with the evidence behind each verdict — and replay the same suite after every schema change. Destructive tools are excluded from the run.

Run evals

Try the Sentry MCP server in your browser

Open MCP Agent Studio with the connection pre-filled. Add your token, pick any of 60+ models, and start chatting — no install required.

Try Sentry in Agent Studio

Sentry MCP server — FAQ

Common questions about connecting, scoping and using it safely.

What is the Sentry MCP server?

It is a hosted remote MCP Sentry provides so AI tools can list and read issues, events, and related metadata in your organisation using the same security boundaries as the REST and UI APIs, instead of you copying error bodies into a chat by hand.

How do I get a Sentry token for the MCP server?

Create a personal or organisation access token in Sentry with the minimum scopes: typically `org:read`, `project:read`, and `event:read` for error triage. Pass it as a bearer token to your MCP client, or use whatever configuration your product requires for the Authorization header.

Can the MCP server delete issues or change alert rules?

The template and defaults in most clients focus on read-only triage. If Sentry ever exposes write tools, treat them with the same caution as write APIs: prefer read-only tokens until you explicitly need and trust automated mutations.

Will this work with Sentry on EU data residency or self-hosted Sentry?

The hosted mcp.sentry.dev endpoint is built for Sentry’s SaaS. Self-hosted and EU-specific hosts may use different base URLs; follow your organisation’s Sentry or contractual guidance before pointing an agent at non-default regions.

What model is best for Sentry triage in Agent Studio?

Use Claude Sonnet 4.5 for multi-issue comparisons and “what changed in this release” questions, where the model has to juggle time ranges, tags, and stack frames. You can A/B the same prompt against Haiku 4.5 in Agent Studio to see where premium reasoning pays off.