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MCP-SSE-LANGCHAIN-Ejemplo
Ejemplo del uso de servidores MCP, ambos sobre SDIO + SSE. También usando langchain-mcp
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MCP Multi-Server Demo with SSE Transport
This project demonstrates how to use the Model Context Protocol (MCP) with multiple servers using different transport methods (stdio and Server-Sent Events).
It is based on examples from: https://github.com/langchain-ai/langchain-mcp-adapters
Overview
The project consists of:
- A math server that provides basic arithmetic operations (add, multiply)
- A weather server that provides simulated weather information for different locations
- A main application that connects to both servers using the MultiServerMCPClient
- Integration with LangChain and OpenAI to create an agent that can use tools from both servers
Requirements
- Python 3.8+
- OpenAI API key
Installation
-
Clone the repository:
git clone https://github.com/yourusername/mcp-sse.git cd mcp-sse
-
Install the required dependencies:
pip install -r requirements.txt
-
Set up your OpenAI API key in a
.env
file:OPENAI_API_KEY=your-api-key-here
Project Structure
-
main.py
: The main application that connects to both servers and runs the agent -
math_server.py
: A simple MCP server that provides math operations using stdio transport -
weather_server.py
: A simple MCP server that provides weather information using SSE transport -
requirements.txt
: List of Python dependencies -
.env
: Environment variables (contains your OpenAI API key)
How It Works
The application demonstrates how to use the MultiServerMCPClient to connect to multiple MCP servers with different transport methods:
- The math server uses stdio transport, which is a simple pipe-based communication method
- The weather server uses Server-Sent Events (SSE) transport, which is an HTTP-based protocol for server-to-client push notifications
The main application:
- Starts the weather server as a separate process
- Connects to both servers using the MultiServerMCPClient
- Creates a LangChain agent that can use tools from both servers
- Demonstrates using the agent to perform math calculations and get weather information
Usage
Run the main application:
python main.py
This will:
- Start the weather server on port 8000
- Connect to both the math and weather servers
- Run the agent with example queries for both math and weather
Example Queries
The demo includes two example queries:
- Math query: "what's (3 + 5) x 12?"
- Weather query: "what is the weather in nyc?"
Extending the Project
You can extend this project by:
- Adding more tools to the math or weather servers
- Creating additional MCP servers with different functionality
- Modifying the agent to handle more complex queries
- Connecting to real weather APIs instead of using simulated data
License
MIT
Acknowledgments
- This project uses the MCP (Model Context Protocol) developed by Anthropic
- Integration with LangChain for agent functionality
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Reviews

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