Part 1. Real-Time LangGraph Agent with MCP Tool Execution
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 independently (via SSE or STDIO), offering modularity and cloud-deployable execut
Overview
What is MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System?
This project showcases a decoupled real-time agent architecture that connects LangGraph agents to remote tools via custom Modular Command Protocol (MCP) servers, enabling a flexible and scalable multi-agent system.
How to use MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System?
To use this system, set up the MCP servers (e.g., math_server.py, weather_server.py) and connect them with LangGraph agents using the provided client scripts. The agents can then invoke tools hosted on these servers asynchronously.
Key features of MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System?
- Decoupled architecture for agent orchestration and tool execution.
- Asynchronous programming for non-blocking I/O.
- Integration of MCP with LangGraph for seamless tool invocation.
- Support for multiple server connections and dynamic tool discovery.
- Real-time communication between agents and tools.
Use cases of MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System?
- Real-time weather forecasting using the weather server.
- Mathematical problem-solving through the math server.
- Building modular AI applications that can integrate various tools dynamically.
FAQ from MCP-MultiServer-Interoperable-Agent2Agent-LangGraph-AI-System?
- Can this system support multiple programming languages?
Yes! The MCP protocol is designed to be language-agnostic, supporting various environments.
- Is it necessary to run all servers locally?
No, the servers can be hosted in the cloud or in containerized environments as well.
- How does the system handle tool failures?
The architecture includes error handling mechanisms to manage tool server failures gracefully.
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