pyspy-mcp is a Model Context Protocol (MCP) server that brings Python performance profiling into your LLM workflow. It wraps py-spy to let AI agents record sampling profiles, dump live stack traces, a
Power your agent
Install from the publisher. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
No packaged release in the registry yet. Follow the repository README.
Remote URL or a command on your machine? How the two installs differ
Run on PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
LaunchOverview
pyspy-mcp is a Model Context Protocol (MCP) server that brings Python performance profiling into your LLM workflow. It wraps py-spy to let AI agents record sampling profiles, dump live stack traces, and analyze flamegraphs — so you can diagnose Python CPU bottlenecks, hot frames, and slow function calls conversationally.
Tools
No tool list yet. Remote servers get one after the first health check.
FAQ
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
No required environment variable is listed on this record.
Pyspy runs locally over stdio.
Last checked 2026-10-26. pyspy-mcp is a Model Context Protocol (MCP) server that brings Python performance profiling into your LLM workflow. It wraps py-spy to let AI agents record sampling profiles, dump live stack traces, and analyze flamegraphs — so you can diagnose Python CPU bottlenecks, hot frames, and slow function calls conversationally.
From the publisher
README is not crawled yet. Open the repository