Bridges user intentions to the OpenClawAI assistant using the Model Context Protocol (MCP), supporting asynchronous processing, real-time communication, and callback notifications.
Sponsored
The OpenClaw Xiaozhi tool serves as an intelligent bridging server, facilitating seamless communication between MCP clients and the OpenClawAI assistant (贾维斯). It leverages the Model Context Protocol (MCP) to efficiently forward user intentions for AI processing, immediately returning a 'processing' status to clients. Designed for modern interactive experiences, it features WebSocket real-time communication for continuous updates and delivers automated callback notifications upon task completion, ensuring clients are always informed. The server is robust, supporting multiple deployment options and a variety of AI-driven tools like intent processing and task execution.
主な機能
01Automatic reconnection with exponential backoff
02Asynchronous task processing with immediate status returns
032 GitHub stars
04WebSocket for real-time client communication and updates
05Support for multiple AI tools (e.g., ask_jarvis, execute_task, process_intent)
06Callback notifications upon task completion
ユースケース
01Integrating AI assistants with MCP-compatible clients for intent processing
02Enabling real-time interaction with an AI assistant for task execution and queries
03Building robust AI-powered applications requiring asynchronous task handling and notifications