MCP Sentry Server

Example Use Cases

• 1

  Fetch and analyze a specific Sentry issue (title, status, timestamps, event count, and stacktrace) to generate diagnostics or remediation steps.

• 2

  Identify the most-impactful issue from a Sentry issues list URL (e.g., the issue affecting the most users) for triage and prioritization.

• 3

  Integrate Sentry error data into workflows via MCP or receive live updates through SSE for monitoring and automated responses.

Description

This repository implements a Model Context Protocol (MCP) Sentry server in Node.js and TypeScript. It connects to the Sentry API using a SENTRY_TOKEN to fetch issues, events, and detailed stacktraces, and exposes them as MCP prompts and tools. It supports both standard MCP over stdin/stdout and an SSE transport for web-based communication, making it easy to wire into agent workflows. The project is designed to help agents analyze errors and prioritize issues by user impact and other metadata.