MCP-Sentry

mcp-sentry

A Model Context Protocol (MCP) server for seamless integration with Sentry.io, enabling real-time error tracking and debugging in your AI-powered development workflow.

Features

• 🔍 Real-time Issue Analysis: Fetch and analyze Sentry issues directly in your development environment
• 🔄 Seamless Integration: Works with Claude Desktop, Zed, and other MCP-compatible clients
• 📊 Comprehensive Data: Access full stacktraces, error patterns, and issue statistics
• 🚀 Multiple Installation Options: Support for pip, uv, and Docker installations
• 🛠 Flexible Configuration: Environment variables or config file-based setup

Quick Start

Prerequisites

• Python 3.10 or higher
• Sentry account with API access
• MCP-compatible client (Claude Desktop, Zed, etc.)

Installation

Choose your preferred installation method:

Using uv (Recommended)

uvx mcp-sentry

Using pip

pip install mcp-sentry

Using Docker

docker pull mcp/sentry

Configuration

Required Environment Variables

SENTRY_TOKEN=your_sentry_auth_token
SENTRY_PROJECT_SLUG=your_project_slug
SENTRY_ORGANIZATION_SLUG=your_organization_slug

Client Configuration

{
  "mcpServers": {
    "sentry": {
      "command": "uvx",
      "args": [
        "mcp-sentry",
        "--auth-token", "YOUR_SENTRY_TOKEN",
        "--project-slug", "YOUR_PROJECT_SLUG",
        "--organization-slug", "YOUR_ORGANIZATION_SLUG"
      ]
    }
  }
}

{
  "context_servers": {
    "mcp-sentry": {
      "command": {
        "path": "uvx",
        "args": [
          "mcp-sentry",
          "--auth-token", "YOUR_SENTRY_TOKEN",
          "--project-slug", "YOUR_PROJECT_SLUG",
          "--organization-slug", "YOUR_ORGANIZATION_SLUG"
        ]
      }
    }
  }
}

Available Tools

1. get_sentry_issue

Retrieve and analyze specific Sentry issues:

• Input: issue_id_or_url (Sentry issue ID or URL)
• Returns: Detailed issue information including stacktrace

2. get_list_issues

List and analyze issues for a project:

• Input: Project and organization slugs
• Returns: List of issues with key metrics

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/qianniuspace/mcp-sentry.git
cd mcp-sentry
 
# Install development dependencies
uv pip install -e ".[dev]"

Running Tests

pytest

Debugging

Use the MCP inspector for debugging:

npx @modelcontextprotocol/inspector uvx mcp-sentry \
  --auth-token YOUR_SENTRY_TOKEN \
  --project-slug YOUR_PROJECT_SLUG \
  --organization-slug YOUR_ORGANIZATION_SLUG

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Original codebase: MCP Servers Sentry
• Sentry.io for their excellent error tracking platform
• The MCP community for their continuous support

Support

• 📖 Documentation
• 🐛 Issue Tracker
• 💬 Discussions

Cursor or Cline

"mcpServers": {
  "sentry": {
    "command": "uvx",
    "args": ["mcp-sentry", "--auth-token", "YOUR_SENTRY_TOKEN","--project-slug" ,"YOUR_PROJECT_SLUG", "--organization-slug","YOUR_ORGANIZATION_SLUG"]
  }
}