Sentry (Remote) MCP server

Sentry MCP Server is a middleware service designed for human-in-the-loop coding agents, optimizing the connection between development tools like Cursor and Claude Code to Sentry's API. It focuses specifically on developer workflows and debugging use cases, making it easier to integrate AI coding assistants with Sentry functionality.

Installation Options

Using the Public Service

The easiest way to use Sentry MCP is through the deployed production service:

https://mcp.sentry.dev

Using the Stdio Transport for Self-Hosted Sentry

For self-hosted Sentry installations, you can use the stdio transport:

1. Create a User Auth Token in your Sentry instance with these scopes:

   • org:read
   • project:read
   • project:write
   • team:read
   • team:write
   • event:write

2. Launch the transport using npx:

npx @sentry/mcp-server@latest --access-token=sentry-user-token --host=sentry.example.com

Alternatively, use environment variables:

SENTRY_ACCESS_TOKEN=your-token-here
SENTRY_HOST=sentry.example.com
OPENAI_API_KEY=your-openai-key  # Required only for AI-powered search tools

Note: The AI-powered search tools (search_events and search_issues) require an OpenAI API key for natural language processing to translate queries into Sentry's query syntax.

Using the MCP Server

MCP Inspector

To test the service easily, use the built-in Inspector tool:

pnpm inspector

Connect to your MCP server by entering the URL (e.g., http://localhost:5173 for local development) and follow the authentication flow.

Tip: If you encounter OAuth flow issues with 127.0.0.1, try using localhost instead (http://localhost:6274).

Local Server Setup

To run the server locally:

1. Set up environment files:

make setup-env

2. Create an OAuth App in your Sentry instance:

   • Go to Settings → API → Applications
   • Set Homepage URL: http://localhost:5173
   • Set Authorized Redirect URIs: http://localhost:5173/oauth/callback
   • Save your Client ID and generate a Client secret

3. Configure your credentials:

   • Add your OPENAI_API_KEY to the root .env file
   • 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

Testing the Connection

The server will be available at http://localhost:5173. To verify it's working:

1. Open the MCP Inspector
2. Enter http://localhost:5173/mcp
3. Click "Connect" and follow the authentication flow
4. Use "List Tools" to verify the connection

Running Tests

Basic Unit Tests

To run the unit test suite:

pnpm test

Evaluation Tests

To run the evaluation tests:

1. Create a .env file in the project root with your OpenAI API key:

OPENAI_API_KEY=your-openai-api-key

2. Run the evaluation:

pnpm eval

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "sentry-mcp" '{"command":"npx","args":["@sentry/mcp-server@latest"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "sentry-mcp": {
            "command": "npx",
            "args": [
                "@sentry/mcp-server@latest"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "sentry-mcp": {
            "command": "npx",
            "args": [
                "@sentry/mcp-server@latest"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect