# AI communication

The MCP server project provides a standardized communication protocol for tool - agent integration, facilitating AI applications to quickly invoke various tool services.

This project realizes the communication between the DingTalk AI assistant and the locally privately deployed MCP service, supports multi - model configuration and local operation, and provides the ability to develop custom functions.

A Python-based implementation of the Model Context Protocol server for educational purposes, demonstrating the core concepts and practices of MCP, supporting WebSocket communication and asynchronous processing.

Claude IPC MCP is an inter-process communication protocol designed for CLI AI assistants, supporting natural language communication between AIs, with functions such as message persistence, security authentication, and automatic checking, to achieve cross-platform AI collaboration.

This project demonstrates the MCP server function of GenAIScript, supporting communication with AI models, including local models, and following the Anthropic MCP protocol standard.

MCP-TEAMATE is an AI agent communication server based on SSE, providing an interaction environment similar to a corporate team for AI agents, supporting real-time communication, document management, and multi-agent collaboration.

A custom MCP server and client project built on Llama 3.2 of Ollama