MultiAgent_MCP_Langgraph
by rakeshrau
This project implements multi-agent systems with MCP (Message Control Protocol) servers using Langgraph. It provides a framework for building collaborative and communicative agent networks.
Last updated: N/A
What is MultiAgent_MCP_Langgraph?
This is a multi-agent system implementation that leverages Langgraph to create a network of agents communicating via MCP servers. It provides a foundation for building complex, collaborative AI applications.
How to use MultiAgent_MCP_Langgraph?
Detailed instructions on how to set up and use this project are likely found within the repository's documentation (e.g., README, wiki, or example scripts). You would typically need to install dependencies, configure the MCP servers, define agent behaviors, and then run the simulation or application.
Key features of MultiAgent_MCP_Langgraph
Multi-Agent Communication
MCP Server Integration
Langgraph Framework
Scalable Agent Networks
Use cases of MultiAgent_MCP_Langgraph
Collaborative Problem Solving
Distributed Task Execution
Simulated Environments
AI-Powered Workflows
FAQ from MultiAgent_MCP_Langgraph
What is Langgraph?
What is Langgraph?
Langgraph is a framework for building conversational AI agents.
What is MCP?
What is MCP?
MCP (Message Control Protocol) is used for agent communication.
How do I configure the MCP servers?
How do I configure the MCP servers?
Configuration details are likely in the project's documentation.
Can I customize the agent behaviors?
Can I customize the agent behaviors?
Yes, the agent behaviors are designed to be customizable.
What are the system requirements?
What are the system requirements?
System requirements are typically outlined in the project's documentation or dependencies list.