Sentry MCP

sentry-mcp

Sentry's MCP service is primarily designed for human-in-the-loop coding agents. Our tool selection and priorities are focused on developer workflows and debugging use cases, rather than providing a general-purpose MCP server for all Sentry functionality.

This remote MCP server acts as middleware to the upstream Sentry API, optimized for coding assistants like Cursor, Claude Code, and similar development tools. It's based on Cloudflare's work towards remote MCPs.

Getting Started

You'll find everything you need to know by visiting the deployed service in production:

https://mcp.sentry.dev

If you're looking to contribute, learn how it works, or to run this for self-hosted Sentry, continue below.

Stdio vs Remote

While this repository is focused on acting as an MCP service, we also support a stdio transport. This is still a work in progress, but is the easiest way to adapt run the MCP against a self-hosted Sentry install.

Note: The AI-powered search tools (search_events and search_issues) require an OpenAI API key. These tools use natural language processing to translate queries into Sentry's query syntax. Without the API key, these specific tools will be unavailable, but all other tools will function normally.

To utilize the stdio transport, you'll need to create an User Auth Token in Sentry with the necessary scopes. As of writing this is:

Launch the transport:

Note: You can also use environment variables:

MCP Inspector

MCP includes an Inspector, to easily test the service:

Enter the MCP server URL (http://localhost:5173) and hit connect. This should trigger the authentication flow for you.

Note: If you have issues with your OAuth flow when accessing the inspector on 127.0.0.1, try using localhost instead by visiting http://localhost:6274.

Local Development

To contribute changes, you'll need to set up your local environment:

1. Set up environment files:
   make setup-env # Creates both .env files from examples
2. Create an OAuth App in Sentry (Settings => API => Applications):
   • Homepage URL: http://localhost:5173
   • Authorized Redirect URIs: http://localhost:5173/callback
   • Note your Client ID and generate a Client secret
3. Configure your credentials:
   • Edit .env in the root directory and add your OPENAI_API_KEY
   • Edit packages/mcp-cloudflare/.env and add:
     • SENTRY_CLIENT_ID=your_development_sentry_client_id
     • SENTRY_CLIENT_SECRET=your_development_sentry_client_secret
     • COOKIE_SECRET=my-super-secret-cookie
4. Start the development server:
   pnpm dev

Verify

Run the server locally to make it available at http://localhost:5173

To test the local server, enter http://localhost:5173/mcp into Inspector and hit connect. Once you follow the prompts, you'll be able to "List Tools".

Tests

There are two test suites included: basic unit tests, and some evaluations.

Unit tests can be run using:

Evals will require a .env file in the project root with some config:

Note: The root .env file provides defaults for all packages. Individual packages can have their own .env files to override these defaults during development.

Once that's done you can run them using:

Development Notes

Automated Code Review

This repository uses automated code review tools (like Cursor BugBot) to help identify potential issues in pull requests. These tools provide helpful feedback and suggestions, but we do not recommend making these checks required as the accuracy is still evolving and can produce false positives.

The automated reviews should be treated as:

• ✅ Helpful suggestions to consider during code review
• ✅ Starting points for discussion and improvement
• ❌ Not blocking requirements for merging PRs
• ❌ Not replacements for human code review

When addressing automated feedback, focus on the underlying concerns rather than strictly following every suggestion.