Sentry MCP Server

# Sentry MCP Server 🔍 A TypeScript implementation of a Sentry MCP (Modern Context Protocol) tool that allows AI agents to access and analyze Sentry error data. 🤖 ## ✨ Features - 🎯 Retrieve and analyze Sentry issues - 📊 Get formatted issue details and metadata - 🔬 View detailed stacktraces - 🛠️ Support for both tool and prompt interfaces - 🛡️ Robust error handling - 🔄 Real-time communication ## 📦 Installation ```bash pnpm install ``` ## 🔧 Configuration Create a `.env` file in the root directory with your Sentry auth token: ```env SENTRY_AUTH_TOKEN=your_sentry_auth_token SENTRY_API_BASE=https://sentry.io/api/0/ # Optional, defaults to this value ``` ## 📚 Usage ### Starting the Server 🚀 ```bash pnpm build && pnpm start ``` The server will start on port 1337 by default. ### Using with MCP 🛠️ The server provides two MCP interfaces: 1. Tool Interface: `get_sentry_issue` ```json { "issue_id_or_url": "12345" } ``` 2. Prompt Interface: `sentry-issue` ```json { "issue_id_or_url": "https://sentry.io/organizations/your-org/issues/12345/" } ``` ## 💡 Integrating with Cursor IDE The Sentry MCP Server can be integrated with Cursor IDE for enhanced development experience: 1. 🚀 Start the MCP server locally using `pnpm start` 2. 🔧 Configure Cursor to use the local MCP server:  3. 🎉 Enjoy seamless Sentry issue analysis directly in your IDE! ## 🤝 Contributing 1. 🔀 Fork the repository 2. 🌿 Create your feature branch 3. 💾 Commit your changes 4. 🚀 Push to the branch 5. 📬 Create a new Pull Request