Sentry MCP server

The Sentry MCP server provides seamless integration with Sentry.io, allowing you to retrieve and analyze error reports, stacktraces, and debugging information from your Sentry account directly through the Model Context Protocol.

Installation Options

Using uv (Recommended)

With uv, you don't need to install the package separately. Simply use uvx to run it directly:

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

Using pip

Alternatively, install the package via pip:

pip install mcp-server-sentry

After installation, run it as a script:

python -m mcp_server_sentry --auth-token YOUR_SENTRY_TOKEN

Integration with AI Assistants

Claude Desktop Configuration

Add the MCP server to your claude_desktop_config.json using one of these methods:

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"]
  }
}

VS Code Configuration

For VS Code, add this configuration to your User Settings (JSON) or to .vscode/mcp.json in your workspace:

Using uvx

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "auth_token",
        "description": "Sentry Auth Token",
        "password": true
      }
    ],
    "servers": {
      "sentry": {
        "command": "uvx",
        "args": ["mcp-server-sentry"],
        "env": {
          "SENTRY_AUTH_TOKEN": "${input:auth_token}"
        }
      }
    }
  }
}

Using Docker

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "auth_token",
        "description": "Sentry Auth Token",
        "password": true
      }
    ],
    "servers": {
      "sentry": {
        "command": "docker",
        "args": ["run", "-i", "--rm", "mcp/sentry"],
        "env": {
          "SENTRY_AUTH_TOKEN": "${input:auth_token}"
        }
      }
    }
  }
}

Zed Editor Configuration

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"]
  }
},

Available Tools

get_sentry_issue

This tool retrieves and analyzes a Sentry issue by ID or URL, providing:

• Title
• Issue ID
• Status
• Level
• First and last seen timestamps
• Event count
• Full stacktrace

Debugging

Use the MCP inspector to debug the server:

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

For local development:

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.