Skip to main content
Glama

Sentry MCP Server πŸ”

A TypeScript implementation of a Sentry MCP (Modern Context Protocol) tool that allows AI agents to access and analyze Sentry error data. πŸ€–

✨ Features

  • 🎯 Retrieve and analyze Sentry issues

  • πŸ“Š Get formatted issue details and metadata

  • πŸ”¬ View detailed stacktraces

  • πŸ› οΈ Support for both tool and prompt interfaces

  • πŸ›‘οΈ Robust error handling

  • πŸ”„ Real-time communication

Related MCP server: Sentry MCP Server

πŸ“¦ Installation

pnpm install

πŸ”§ Configuration

Create a .env file in the root directory with your Sentry auth token:

SENTRY_AUTH_TOKEN=your_sentry_auth_token SENTRY_API_BASE=https://sentry.io/api/0/ # Optional, defaults to this value

πŸ“š Usage

Starting the Server πŸš€

pnpm build && pnpm start

The server will start on port 1337 by default.

Using with MCP πŸ› οΈ

The server provides two MCP interfaces:

  1. Tool Interface: get_sentry_issue

    { "issue_id_or_url": "12345" }
  2. Prompt Interface: sentry-issue

    { "issue_id_or_url": "https://sentry.io/organizations/your-org/issues/12345/" }

πŸ’‘ Integrating with Cursor IDE

The Sentry MCP Server can be integrated with Cursor IDE for enhanced development experience:

  1. πŸš€ Start the MCP server locally using pnpm start

  2. πŸ”§ Configure Cursor to use the local MCP server: image

  3. πŸŽ‰ Enjoy seamless Sentry issue analysis directly in your IDE!

🀝 Contributing

  1. πŸ”€ Fork the repository

  2. 🌿 Create your feature branch

  3. πŸ’Ύ Commit your changes

  4. πŸš€ Push to the branch

  5. πŸ“¬ Create a new Pull Request

-
security - not tested
F
license - not found
-
quality - not tested

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/FaureAlexis/sentry-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server