Provides local command execution, remote SSH, interactive terminals, file read/write, and source search for AI CLI through stdio, with large output pagination and safety confirmations.
Enables AI agents to securely create, manage, and monitor local processes such as dev servers, docker-compose, and test watchers, including restarting, checking status, and retrieving logs via MCP, HTTP, or WebSocket messaging.
Enables registering custom agent tools via a minimal JSON-RPC over stdio implementation, with zero external dependencies, to expose them to AI agents like Claude, Cursor, and Gemini.
Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.
Enables local tool calling over Model Context Protocol via stdio, providing deterministic tools such as calc.add, text.word_count, and text.summarize_naive after JSON-RPC handshake and discovery.