Multi-Agent Orchestration Demo

About

This project offers a hands-on demonstration for setting up and interacting with custom Model Context Protocol (MCP) servers. It highlights multi-agent orchestration capabilities, leveraging LangChain and Groq to facilitate seamless communication between agents, including both local (stdio) and remote (HTTP) tool integrations. Developers can explore how to build and register custom MCP servers and design complex multi-agent workflows, showcasing both synchronous and asynchronous interactions.

Key Features

• Integration with LangChain for a unified agent interface and tool invocation
• 1 GitHub stars
• Support for multiple communication transports: local (stdio) and remote (HTTP)
• Customizable server agents for distinct functionalities (e.g., Math, Weather)
• Asynchronous orchestration for efficient, non-blocking agent communication

Use Cases

• Orchestrating multi-agent workflows with LangChain
• Building and registering custom Model Context Protocol (MCP) servers
• Enabling communication between agents using stdio and HTTP transports