-
securityA
license-
qualityA server that integrates the MCP library with OpenAI's API, allowing users to interact with various tools, such as the weather tool, through natural language queries.
Last updated -
Python
MIT License
Used for environment variable management, specifically for storing and accessing API keys like GROQ_API_KEY securely within the application.
Provides a unified agent interface for tool invocation, enabling orchestration of multiple MCP servers (Math and Weather agents) through LangChain's framework.
Serves as the implementation language for custom MCP servers, providing both stdio and HTTP transports for agent communication.
Model Context Protocol (MCP) Multi-Agent Demo
This project demonstrates how to set up and communicate with custom Model Context Protocol (MCP) servers in Python. It showcases multi-agent orchestration using LangChain, Groq, and MCP adapters, enabling both local and remote tool integration.
Features
- Custom MCP Servers: Math and Weather agents, each as independent MCP servers
- Multi-Transport Communication: Local (stdio) and remote (HTTP) transports
- LangChain Integration: Unified agent interface for tool invocation
- Async Orchestration: Efficient, non-blocking agent communication
Components
1. mathserver.py
A custom MCP server providing math operations (add, multiply) via stdio transport.
2. weather.py
A custom MCP server providing weather information via HTTP transport - (Static content for demo).
3. client.py
A Python client that connects to both servers, discovers their tools, and invokes them using a LangChain agent powered by Groq.
Setup Instructions
- Clone the repository
- Install dependencies:
- Set up environment variables:
- Create a
.envfile with yourGROQ_API_KEY:
- Run the servers:
- Start the weather server (in one terminal):
- The math server is started automatically by the client when needed.
- Run the client:
Example Output
Learning Outcomes
- How to build and register custom MCP servers
- How to enable communication between agents using stdio and HTTP
- How to orchestrate multi-agent workflows with LangChain
Requirements
- Python 3.8+
- See
requirements.txtfor Python dependencies
License
MIT
This server cannot be installed
Demonstrates custom MCP servers for math and weather operations, enabling multi-agent orchestration using LangChain, Groq, and MCP adapters for both local and remote tool integration.
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