Raygun is a Monitoring MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent crash reporting and real user monitoring data. Install in 1 minute with mcpizy install raygun.
Monitoring
Crash reporting and real user monitoring data. Track errors, performance, and user sessions.
mcpizy install raygunnpx -y @raygun/mcp-serverAccess OpenTelemetry traces and metrics via Pydantic Logfire. Debug production issues fast.
Real-time production context — logs, metrics, traces. SRE intelligence for incident response.
Navigate OpenTelemetry resources, investigate incidents, and query observability data.
Query metrics and alerts
If Raygun doesn't fit your stack, these Monitoring MCP servers solve similar problems.
The Raygun MCP server is an Monitoring Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents crash reporting and real user monitoring data. It exposes Raygun's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install raygun` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y @raygun/mcp-server` and restarting Claude Code.
Yes. The Raygun MCP server is free and open source (see the GitHub repository linked on this page). You may still need a Raygun account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can crash reporting and real user monitoring data directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Raygun operations, inspect results, chain Raygun with other MCP servers (see our Workflow Recipes), and automate repetitive monitoring tasks without leaving your editor.