
Sentry MCP
A remote Model Context Protocol server acting as middleware to the Sentry API, allowing AI assistants like Claude to access Sentry data and functionality through natural language interfaces.
Tools
list_organizations
List all organizations that the user has access to in Sentry. Use this tool when you need to: - View all organizations in Sentry
list_teams
List all teams in an organization in Sentry. Use this tool when you need to: - View all teams in a Sentry organization
list_projects
Retrieve a list of projects in Sentry. Use this tool when you need to: - View all projects in a Sentry organization
get_error_details
Retrieve error details from Sentry for a specific Issue ID, including the stacktrace and error message. Either issueId or issueUrl MUST be provided. Use this tool when you need to: - Investigate a specific production error - Access detailed error information and stacktraces from Sentry
search_errors_in_file
Search for errors recently occurring in a specific file. This is a suffix based search, so only using the filename or the direct parent folder of the file. The parent folder is preferred when the filename is in a subfolder or a common filename. Use this tool when you need to: - Search for production errors in a specific file - Analyze error patterns and frequencies - Find recent or frequently occurring errors.
create_team
Create a new team in Sentry. Use this tool when you need to: - Create a new team in a Sentry organization
create_project
Create a new project in Sentry, giving you access to a new SENTRY_DSN. Use this tool when you need to: - Create a new project in a Sentry organization
README
sentry-mcp
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.
Getting Started
https://sentry.cool
Stdio vs Remote
While this repository is primarily servicing a remote MCP use-case, we also support a stdio transport.
Note: This is currently a draft and not available via a distribution.
You will need to ensure your token is provisioned with the necessary scopes. As of writing this is:
org:read project:read project:write team:read team:write event:read
You can find the canonical reference to the needed scopes in the source code.
Launching the stdio transport will just require you to bind SENTRY_AUTH_TOKEN
and run the provided script:
SENTRY_AUTH_TOKEN= npm run start:stdio
Self-Hosted Sentry
You can override the SENTRY_URL
env variable to set your base Sentry url:
SENTRY_URL=https://sentry.mycompany.com
MCP Inspector
MCP includes an Inspector, to easily test the service:
pnpm inspector
Enter https://[domain].workers.dev/sse
(TODO) and hit connect. Once you go through the authentication flow, you'll see the Tools working:
<img width="640" alt="image" src="https://github.com/user-attachments/assets/7973f392-0a9d-4712-b679-6dd23f824287" />
Access the remote MCP server from Claude Desktop
Open Claude Desktop and navigate to Settings, press ⌘ + ,
(comma) -> Developer -> Edit Config. This opens the configuration file that controls which MCP servers Claude can access.
Replace the content with the following configuration. Once you restart Claude Desktop, a browser window will open showing your OAuth login page. Complete the authentication flow to grant Claude access to your MCP server. After you grant access, the tools will become available for you to use.
{
"mcpServers": {
"math": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp-github-oauth.<your-subdomain>.workers.dev/sse"
]
}
}
}
Once the Tools (under 🔨) show up in the interface, you can ask Claude to use them. For example: "Could you use the math tool to add 23 and 19?". Claude should invoke the tool and show the result generated by the MCP server.
Local Development
If you'd like to iterate and test your MCP server, you can do so in local development. This will require you to create another OAuth App in Sentry (Settings => API => Applications):
- For the Homepage URL, specify
http://localhost:8788
- For the Authorized Redirect URIs, specify
http://localhost:8788/callback
- Note your Client ID and generate a Client secret.
- Create a
.dev.vars
file in your project root with:
SENTRY_CLIENT_ID=your_development_sentry_client_id
SENTRY_CLIENT_SECRET=your_development_sentry_client_secret
Verify
Run the server locally to make it available at http://localhost:8788
pnpm dev
To test the local server, enter http://localhost:8788/sse
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:
pnpm test
Evals will require a .env
file with some config:
OAUTH_API_TOKEN=
SENTRY_AUTH_TOKEN=
Once thats done you can run them using:
pnpm eval
Notes
Using Claude and other MCP Clients
When using Claude to connect to your remote MCP server, you may see some error messages. This is because Claude Desktop doesn't yet support remote MCP servers, so it sometimes gets confused. To verify whether the MCP server is connected, hover over the 🔨 icon in the bottom right corner of Claude's interface. You should see your tools available there.
Using Cursor and other MCP Clients
To connect Cursor with your MCP server, choose Type
: "Command" and in the Command
field, combine the command and args fields into one (e.g. npx mcp-remote https://<your-worker-name>.<your-subdomain>.workers.dev/sse
).
Note that while Cursor supports HTTP+SSE servers, it doesn't support authentication, so you still need to use mcp-remote
(and to use a STDIO server, not an HTTP one).
You can connect your MCP server to other MCP clients like Windsurf by opening the client's configuration file, adding the same JSON that was used for the Claude setup, and restarting the MCP client.
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