Official MCP server for Sentry.
This is a prototype of a remote MCP sever, acting as a middleware to the upstream Sentry API provider.
It is based on Cloudflare's work towards remote MCPs.
You'll find everything you need to know by visiting the deployed service in production:
If you're looking to contribute, learn how it works, or to run this for self-hosted Sentry, continue below..
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.
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:
org:read
project:read
project:write
team:read
team:write
event:write
Launch the transport:
npx @sentry/mcp-server@latest --access-token=sentry-user-token --host=sentry.example.com
Note: You can also use environment variables:
SENTRY_ACCESS_TOKEN=
SENTRY_HOST=
MCP includes an Inspector, to easily test the service:
pnpm inspector
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
.
To contribute changes against the server, you'll need to set things up in in local development. This will require you to create another OAuth App in Sentry (Settings => API => Applications):
http://localhost:5173
http://localhost:5173/callback
.dev.vars
file in packages/mcp-cloudflare/
root with:# packages/mcp-cloudflare/.dev.vars
SENTRY_CLIENT_ID=your_development_sentry_client_id
SENTRY_CLIENT_SECRET=your_development_sentry_client_secret
COOKIE_SECRET=my-super-secret-cookie
Run the server locally to make it available at http://localhost:5173
pnpm dev
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".
There are two test suites included: basic unit tests, and some evaluations.
Unit tests can be run using:
pnpm test
Evals will require a .env
file with some config:
OPENAI_API_KEY=
Once that's done you can run them using:
pnpm eval
MCP server empowers LLMs to interact with JSON files efficiently. With JSON MCP, you can split, merge, etc.
GXtract is a MCP server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment.
MCP server to provide golang packages and their information from pkg.go.dev
Integration with QA Sphere test management system, enabling LLMs to discover, summarize, and interact with test cases directly from AI-powered IDEs
A code observability MCP enabling dynamic code analysis based on OTEL/APM data to assist in code reviews, issues identification and fix, highlighting risky code etc.
Clojure linter
Interact with your crash reporting and real using monitoring data on your Raygun account
A powerful and flexible MCP server designed to enhance the development experience with Shadcn UI components, providing tools for component management, documentation, and installation.
Equip AI agents with evaluation and self-improvement capabilities with Root Signals.
Manage Buildkite pipelines and builds.