Raygun: MCP server, setup and security

What Raygun does

According to its repository: “Crash reporting and real user monitoring via the Raygun API.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Raygun is listed under Monitoring and observability, a category of 57 servers in the directory, where it ranks #24 by stars.

Topics declared by the repository: error-reporting, llm-agents, real-user-monitoring.

Installing and connecting Raygun

Distribution modes declared in the official MCP registry:

• remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for Raygun:

• No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on November 28, 2024, the MindscapeHQ/mcp-server-raygun repository has 30 stars and 12 forks, with 2 open issues. It has more stars than 45% of the servers in the directory. Last change 2 months ago. Version published in the registry: 1.1.0 (September 2, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.