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Raygun MCP

Developer Tools

Crash reporting and real user monitoring data access for debugging production issues.

Author

Raygun

Category

Developer Tools

GitHub Stars

100+

Clients

1 supported

Sample Configuration

Add this to your MCP client configuration file (e.g., claude_desktop_config.json for Claude Desktop):

{
  "mcpServers": {
    "raygun": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-raygun"
      ]
    }
  }
}

Use our MCP Manifest Generator to build complete configurations visually, or the MCP Config Validator to check your existing config.

Compatible Clients

Claude Desktop

Details

Server IDraygun
AuthorRaygun
CategoryDeveloper Tools
Compatible WithClaude Desktop
Tags
monitoringerrorsapm
GitHubhttps://github.com/MindscapeHQ/raygun-mcp-server
GitHub Stars100+

About Raygun MCP

Raygun MCP is a Model Context Protocol (MCP) server created by Raygun. It enables AI assistants to interact with Raygun capabilities.

MCP (Model Context Protocol) is an open standard that allows AI models to securely connect to external tools and data sources. By installing Raygun MCP, you give your AI assistant the ability to perform real actions through a standardized interface, rather than just generating text about them.

This server is compatible with Claude Desktop and has 100+ stars on GitHub. It falls under the "Developer Tools" category of MCP servers.

To get started, use our MCP Manifest Generator to create a complete configuration, or validate your existing setup with the MCP Config Validator.

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FAQ

How do I install Raygun MCP?

Visit the GitHub repository at https://github.com/MindscapeHQ/raygun-mcp-server for detailed installation instructions. Setup steps vary depending on your MCP client.

What clients work with Raygun MCP?

Raygun MCP is compatible with Claude Desktop. Each client has its own configuration file format, but the MCP server setup is similar across all of them.

What can I do with Raygun MCP?

Crash reporting and real user monitoring data access for debugging production issues. Once configured, your AI assistant can interact with these capabilities through natural language commands, making it possible to perform real actions directly from your AI chat interface.