AIPM

# AI Process Manager — MCP Server **Structured Windows state for AI agents — no screenshots.** This MCP server exposes the [AI Process Manager](https://github.com/agorapassadoagora-debug/AIPM) local HTTP API as tools for Claude Desktop, Cursor, and any MCP client. Instead of capturing pixels (~2,765 tokens per 1080p screenshot), agents read **JSON and text** (~15–150 tokens per query) from processes, windows, consoles, and UI Automation trees. > **Requires:** AIProcessManager.exe running on Windows (system tray). Node.js ≥ 14. Zero npm dependencies. <!-- mcp-name: io.github.agorapassadoagora-debug/AIPM --> ## Why this exists Computer-use agents often "look" at the desktop via screenshots. That is slow (3–5 s), expensive in tokens, and sends pixel data through the model. AIPM answers structured questions on loopback: | Question | Screenshot | AIPM tool | |----------|------------|-----------| | Is the render still running? | ~2,765 tokens | `check_process` → ~15 tokens | | What's the console output? | screenshot + OCR | `read_window` → ~30 tokens | | Did the export finish? | poll + screenshots | `wait_for(file_stable=...)` → one call | Measured on a real machine: **~94–98% fewer perception tokens per action** vs screenshots. ## Quick start ### 1. Start the backend Ensure `AIProcessManager.exe` is running in your system tray. ### 2. Configure your MCP client **Claude Desktop** — `claude_desktop_config.json`: ```json { "mcpServers": { "ai-process-manager": { "command": "node", "args": ["C:\\path\\to\\ai-process-manager\\mcp\\server.js"] } } }