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Your AI coding assistant understands your codebase — but it can’t see how your application behaves in production. Scout bridges that gap: real performance data, real errors, and real traces, delivered directly to the AI tools you already use.
Rather than building AI into our product, we’ve focused on making Scout’s data accessible to the tools you’re already working with — whether that’s Claude Code, Cursor, VS Code Copilot, or something else. When your agent has production context, it makes better decisions about performance, debugging, and architecture.
Below are the tools available for connecting Scout to your AI workflow.
MCP Server
Zero infrastructure. Authenticate via OAuth and connect your AI assistant directly to Scout. Get started.
Self-Hosted MCP
Run the MCP server on your own machine via Docker. Authenticate with an API key for full control. Get started.