A local MCP for Scout Monitoring data interactions.
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# Scout Monitoring MCP <a href="https://glama.ai/mcp/servers/@scoutapp/scout-mcp-local"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@scoutapp/scout-mcp-local/badge" alt="Scout Monitoring MCP server" /> </a> [](https://lobehub.com/mcp/scoutapp-scout-mcp-local) <hr This repository contains code to locally run an MCP server that can access [Scout Monitoring](https://www.scoutapm.com) data via Scout's API. We provide a Docker image that can be pulled and run by your AI Assistant to access Scout Monitoring data. This puts Scout Monitoring's performance and error data directly in the hands of your AI Assistant. For Rails, Django, FastAPI, Laravel and more. Use it to get traces and errors with line-of-code information that the AI can use to target fixes right in your editor and codebase. N+1 queries, slow endpoints, slow queries, memory bloat, throughput issues - all your favorite performance problems surfaced and explained right where you are working. **If this makes your life a tiny bit better, why not :star: it?!** ## Setup Wizard The simplest way to configure and start using the Scout MCP is with our interactive setup wizard. It handles all the prereqs and installation steps for you. Run via npx: ```bash npx @scout_apm/wizard ``` Build and run from source: ```bash cd ./wizard npm install npm run build node dist/wizard.js ``` The wizard will guide you through: - Selecting your AI coding platform (Cursor, Claude Code, Claude Desktop) - Entering your Scout API key - Automatically configuring the MCP server settings #### Supported Platforms The wizard currently supports setup for: - **Cursor** - Automatically configures MCP settings - **Claude Code (CLI)** - Provides the correct command to run - **Claude Desktop** - Updates the configuration file for Windows/Mac For all others, it will output JSON that you can copy/paste into your AI Assistant's MCP configuration. ## …
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