A practical demonstration of integrating LangChain with Model Control Protocol (MCP) featuring both single and multi-server implementations. Includes examples of mathematical computations and weather queries using async operations, React agents, and OpenAI integration. Perfect for developers looking to understand MCP-LangChain integration patterns.
Overview
What is MCP Crash Course?
MCP Crash Course is a demonstration project that showcases the integration of LangChain with Model Control Protocol (MCP) adapters, focusing on both mathematical computations and weather queries.
How to use MCP Crash Course?
To use the MCP Crash Course, clone the repository, set up a virtual environment, install the dependencies, and run either the single server or multi-server examples provided in the project.
Key features of MCP Crash Course?
- Integration of multiple MCP servers for math and weather queries.
- Utilization of LangChain with OpenAI for enhanced functionality.
- Support for asynchronous operations.
- Environment variable configuration for API keys.
Use cases of MCP Crash Course?
- Performing mathematical calculations through a dedicated server.
- Querying weather information using a separate server.
- Understanding integration patterns between LangChain and MCP for developers.
FAQ from MCP Crash Course?
- What programming language is used in this project?
The project is implemented in Python.
- Do I need an OpenAI API key to run the project?
Yes, you need to create a
.envfile and add your OpenAI API key to use the project.
- Can I run both single and multi-server examples?
Yes, you can run both examples to see different implementations of the MCP integration.