Raygun
Monitor crash reports and performance metrics for application stability.
This Raygun MCP server, developed by MindscapeHQ, provides a standardized interface for AI assistants to interact with Raygun's crash reporting and real user monitoring services. It integrates with Raygun's V3 API to enable operations like listing applications, managing error groups, handling deployments, and accessing performance metrics. Built in TypeScript, the implementation handles API authentication and exposes Raygun's functionality through an MCP interface. By bridging AI models and application monitoring data, this server allows AI systems to analyze crash reports, track user sessions, and monitor application performance. It is particularly useful for AI assistants needing to provide insights on software stability, user experience issues, or deployment impacts in applications monitored by Raygun.
Source
Repository: https://github.com/mindscapehq/mcp-server-raygun
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