Sentry (Remote) MCP server

Retrieve error and performance data from Sentry.
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Setup instructions
Provider
Sentry
Release date
Mar 22, 2025
Language
Python
Stats
400 stars

This MCP server provides middleware to the Sentry API, optimized for coding assistants like Cursor and Claude Code. It enables human-in-the-loop coding agents to interact with Sentry's features, focusing on developer workflows and debugging use cases.

Installation

Using the Public Server

The easiest way to get started is by using the deployed service at: https://mcp.sentry.dev

Using the stdio Transport

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

  1. Create a User Auth Token in Sentry 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

For self-hosted deployments, add the host parameter:

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

You can also use environment variables:

SENTRY_ACCESS_TOKEN=your-token
SENTRY_HOST=sentry.example.com  # Only needed for self-hosted
OPENAI_API_KEY=your-api-key     # Required for AI-powered search tools

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

Usage

MCP Inspector

To test the service using the MCP Inspector:

pnpm inspector
  1. Enter the MCP server URL (http://localhost:5173) and click connect
  2. Follow the authentication flow
  3. Once connected, you can test the available tools

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.

Available Tools

The MCP server provides several tools for interacting with Sentry:

  • Search tools - Find events and issues using natural language queries
  • Project management - Create and manage Sentry projects
  • Team management - Handle team operations
  • Event operations - Work with Sentry events

Local Server Testing

To test a locally running server:

  1. Start the server with pnpm dev
  2. The server will be available at http://localhost:5173
  3. Enter http://localhost:5173/mcp into the MCP Inspector
  4. Connect and authenticate
  5. Use "List Tools" to see available functionality

Running Tests

To run the unit tests:

pnpm test

For evaluation tests, first create a .env file in the project root with your OpenAI API key:

OPENAI_API_KEY=your-openai-api-key

Then run the evaluations:

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

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