What does it require to run?
Node.js, pnpm, and a valid Sentry authentication token (configured via the `SENTRY_AUTH_TOKEN` environment variable). The server runs on port 1337 by default.
@FaureAlexis
基本情報
🤖 A TypeScript implementation of a Sentry MCP (Modern Context Protocol) tool that allows AI agents to access and analyze Sentry error data.
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A TypeScript implementation of a Sentry MCP (Modern Context Protocol) tool that enables AI agents to access and analyze Sentry error data by retrieving issues, viewing stacktraces, and reading formatted metadata.
Install with pnpm install, configure a .env file with your Sentry auth token (and optionally a custom API base URL), then run pnpm build && pnpm start. The server exposes a tool interface (get_sentry_issue) and a prompt interface (sentry-issue), both accepting an issue ID or URL.
Node.js, pnpm, and a valid Sentry authentication token (configured via the `SENTRY_AUTH_TOKEN` environment variable). The server runs on port 1337 by default.
It uses the Sentry API (default base URL `https://sentry.io/api/0/`). The optional `SENTRY_API_BASE` variable lets you point to a different Sentry instance.
Yes. The MCP interface provides a `get_sentry_issue` tool and a `sentry-issue` prompt, both accepting the same `issue_id_or_url` parameter.
Yes. Start the server locally, then configure Cursor to use the local MCP server for in‑IDE Sentry issue analysis.
The README mentions MCP (Modern Context Protocol) with tool and prompt interfaces. Authentication is done via the Sentry auth token supplied in the `.env` file. No other transports (e.g., HTTP, stdio) are specified.
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