Raygun MCP Server

Example Use Cases

• 1

  Investigate, resolve, and track application errors and crashes with full stack traces and context.

• 2

  Monitor deployments and correlate errors with releases to identify problematic changes.

• 3

  Analyze performance trends, user sessions, and collaborate with teams on error resolution.

Description

The Raygun MCP server enables AI coding assistants to access and analyze crash reporting and real user monitoring data from Raygun through natural language conversations. It helps users investigate errors, track deployments, analyze performance trends, and manage application monitoring workflows efficiently. The server supports multiple AI assistants and provides a wide range of tools for error management, deployment tracking, user monitoring, and team collaboration.