Sentry MCP

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.

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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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