MCP AI Infra Real Time Agent

@junfanz1

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

junfanz1

关于 MCP AI Infra Real Time Agent

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent

#ai #mcp #langchain #langgraph #agentic-framework #mcp-server

MCP AI Infra Real Time Agent 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP AI Infra Real Time Agent 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP AI Infra Real Time Agent?

A decoupled real-time agent architecture that connects LangGraph agents to remote tools hosted by custom MCP (Model Context Protocol) servers. It enables LLM orchestration to be separated from tool execution, supporting both SSE and STDIO transports for modular, cloud-deployable multi-agent systems.

How to use MCP AI Infra Real Time Agent?

Run the provided MCP tool servers (e.g., python math_server.py, python weather_server.py) then execute a LangGraph agent client such as multiserver_client.py or stdio_client.py. Configure API keys via a .env file and use the MultiServerMCPClient to bind to multiple tool servers concurrently. Debug tool execution with Anthropic’s MCP Inspector.

Key features of MCP AI Infra Real Time Agent

Decoupled architecture for agent orchestration and tool execution.
Supports both SSE and STDIO transport protocols.
Asynchronous I/O for concurrent and real-time communication.
MultiServerMCPClient enables connections to multiple tool servers.
Dynamic tool discovery and MCP handshake protocol.
LangGraph ReAct agent integration for reasoning and acting.

Use cases of MCP AI Infra Real Time Agent

Building multi-agent systems where agents invoke remote tools from separate servers.
Real-time weather and math tool execution for AI assistants.
Integrating LangGraph‑based agents with MCP‑compatible tool servers.
Developing scalable, cloud‑deployable AI infrastructure with modular tool execution.

常见问题

What transports are supported for tool servers?

The system supports both SSE (Server‑Sent Events) and STDIO

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