Sentry MCP server

The MCP server-sentry provides a Model Context Protocol server that connects to Sentry.io, allowing you to retrieve and analyze error reports and debugging information directly from your Sentry account. It integrates with applications like Claude Desktop and Zed to provide contextual access to your Sentry data.

Installation Options

Using uv (Recommended)

With uv, no specific installation is needed. Simply use uvx to run the server directly:

uvx mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN

Using PIP

You can install the server via pip:

pip install mcp-server-sentry

After installation, run it using:

python -m mcp_server_sentry --auth-token YOUR_SENTRY_TOKEN

Configuration

Claude Desktop Integration

Add this configuration to your claude_desktop_config.json:

Using uvx

"mcpServers": {
  "sentry": {
    "command": "uvx",
    "args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}

Using Docker

"mcpServers": {
  "sentry": {
    "command": "docker",
    "args": ["run", "-i", "--rm", "mcp/sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}

Using pip installation

"mcpServers": {
  "sentry": {
    "command": "python",
    "args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
}

Zed Integration

Add to your Zed settings.json:

Using uvx

"context_servers": [
  "mcp-server-sentry": {
    "command": {
      "path": "uvx",
      "args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
    }
  }
],

Using pip installation

"context_servers": {
  "mcp-server-sentry": {
    "command": "python",
    "args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
  }
},

Using the MCP Server

Available Tools

• get_sentry_issue: Retrieves and analyzes a Sentry issue by ID or URL
  • Input: issue_id_or_url (string) - Sentry issue ID or URL to analyze
  • Returns: Comprehensive issue details including title, ID, status, level, timestamps, event count, and full stacktrace

Prompt Templates

• sentry-issue: Retrieves issue details from Sentry
  • Input: issue_id_or_url (string) - Sentry issue ID or URL
  • Returns: Formatted issue details as conversation context

Debugging

You can use the MCP inspector to debug the server:

npx @modelcontextprotocol/inspector uvx mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN

For local development installations:

cd path/to/servers/src/sentry
npx @modelcontextprotocol/inspector uv run mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN

How to add this MCP server to 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 > MCP and click "Add new global MCP server".

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

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

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 explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.