# Multi - server

This project builds a real - time AI agent architecture based on the MCP protocol. Through the decoupled design of the LangGraph agent and the remote MCP tool server, a modular and scalable multi - agent system is achieved. The project demonstrates how to integrate the LangGraph agent with a custom MCP server (supporting SSE and STDIO transmission) to achieve asynchronous non - blocking tool calls and support concurrent execution on multiple servers.

AISDK MCP Bridge is a bridging package that connects the AI SDK with the Model Context Protocol (MCP). It supports multiple MCP server types and provides functions such as tool execution, multi - server configuration, and error handling.

This project is a Slack bot client that serves as a bridge between Slack and Model Context Protocol (MCP) servers, enabling the interaction between LLM models and multiple MCP servers through standardized MCP tools.

The plugged.in MCP Proxy Server is a middleware that aggregates multiple MCP servers to provide a unified interface, supports multiple MCP clients, and has advanced management functions.

The plugged.in MCP Proxy Server is a middleware that aggregates multiple Model Context Protocol (MCP) servers into a unified interface, provides advanced management functions through the plugged.in ecosystem, supports multiple MCP clients, and implements intelligent request routing.

A proxy server project that can connect to multiple MCP servers and provide a unified tool access interface, supporting multiple configuration files and multiple operating modes.