Multi-Agent Orchestration Demo
Enables building and orchestrating custom Model Context Protocol servers for multi-agent communication and tool integration.
Acerca de
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.
Características Principales
- 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
Casos de Uso
- Orchestrating multi-agent workflows with LangChain
- Building and registering custom Model Context Protocol (MCP) servers
- Enabling communication between agents using stdio and HTTP transports
Sponsored