Raygun MCP Server is a remote Model Context Protocol server, hosted by Mindscape at a public HTTPS endpoint, that connects AI assistants to crash reporting and real user monitoring data held in Raygun. There is nothing to install locally: a client points at the remote URL and authenticates with a Raygun personal access token supplied in an Authorization header, and an active Raygun subscription is required. The README documents configuration for a wide set of clients, including Amp, Claude Code, Cline, Codex, Cursor, Gemini CLI, JetBrains AI Assistant, VS Code and Zed, with the clients that cannot speak remote transports natively going through the mcp-remote bridge. Functionality is grouped by area. Application tools list all applications in an account, search them by name, fetch details for one and regenerate an application API key. Error management tools list error groups within an application, investigate a single group in full, change its status to resolved, ignored or active, add investigation comments, browse individual error occurrences and pull the complete stack trace and context for one instance. Beyond errors the server covers deployment tracking, so releases can be listed and correlated with newly appearing errors to point at the change that introduced a regression; performance insight tools that report page load times, user metrics and trends over a time window; user monitoring that follows customer sessions and behaviour and identifies who was affected by a fault; team collaboration through invitation management; and metrics tooling that returns time series and distribution histograms for both errors and performance. A separate TOOLS.md file holds the full tool reference. The server is written in TypeScript and is aimed at engineering teams already using Raygun who want an assistant to triage crashes, check the health of a release and summarise performance trends conversationally.
https://github.com/MindscapeHQ/mcp-server-raygun
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