A workflow that connects Scout's MCP server to an AI assistant to automatically triage production errors overnight and open draft PRs with proposed fixes — so your team starts the day reviewing solutions, not stack traces.
We've shipped API updates, two MCP server options, and a new CLI — all designed to get Scout's performance data to the AI tools you already use.
Scout Senior Developer Quinn walks us through adding FastMCP instrumentation to our Python agent. The Scout MCP server enables Scout users to query their Scout agent about application performance so that the agent can make decisions and fix issues based on that data.