Chat with your app data in human language — Plug your AI into Scout
Scout's MCP is the AI-native solution that exposes performance issues and slow endpoints to your coding assistants and makes monitoring in plain language possible.
Scout's MCP targets the unpredictable elements of AI coding
Context-switching kills momentum, and UX suffers
APM + errors + logs = separate, heavy, expensive
Bugs after deploy that are hard to explain or reproduce
Scout's MCP tracks any issues in the editor, automatically giving your agent deep insights
Ask your agent about app issues in natural language and get performance answers
Skip dashboards and get clear performance monitoring answers on demand.
Awareness-based performance fixes
With insights from Scout MCP, your agents learn to suggest contextual fixes for any detected issues.
Add Scout's MCP server to your AI editor
Try our Install Wizard to set up everything you need to start using Scout.
npx @scout_apm/wizard
Open on GitHub
Keep production running smoothly
Surface AI-specific bugs before they hit production
Errors, Logs, and Traces — right where you need them
Focus on informed delivery, no context-switching needed
Scout MCP FAQ
What AI Assistants are supported?
Scout's MCP server works with any AI assistant that supports the Model Context Protocol, including Claude Desktop, Claude Code, Cursor, VS Code with Copilot, Windsurf, Cline/Roo, Amp, and more.
Are there plans for a remote MCP server?
Yes.
Does using Scout MCP have any associated cost?
There is no direct cost for using Scout's MCP server. It uses API access from your existing Scout account. Rate limits may apply, and there may be indirect token costs from your AI assistant provider.
What data does the Scout MCP server have access to?
The Scout MCP server has read-only access to insight, error, metric, and trace data from your Scout account. Log data support is coming soon.