MCP Crash Course

@Ayyappa054

About MCP Crash Course

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 fo

#langchain #mcp #integration #math #weather

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "langchain-mcp-examples": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Crash Course?

A demonstration project showcasing integration of LangChain with Model Context Protocol (MCP) adapters. It implements a system that handles mathematical calculations and weather queries through separate MCP servers. Designed for developers learning MCP and LangChain.

How to use MCP Crash Course?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, and add your OpenAI API key to a .env file. Then run python main.py for the single‑server example or python langchain_client.py for the multi‑server example.

Key features of MCP Crash Course

Integrates LangChain with MCP adapters
Multiple MCP servers (math and weather)
Async operation support
Environment variable configuration
Both single‑server and multi‑server usage examples

Use cases of MCP Crash Course

Learning how to integrate MCP with LangChain
Demonstrating math and weather queries via separate MCP servers
Prototyping multi‑server agent systems
Teaching MCP stdio client and MultiServerMCPClient usage
Reference for building custom MCP adapter examples

FAQ from MCP Crash Course

What are the runtime requirements?

Python 3.x and an OpenAI API key are required. Dependencies include langchain-core, langchain-openai, langchain-mcp-adapters, langgraph, python-dotenv, and mcp.

How do the two main scripts differ?

main.py uses a stdio client to connect to a single math server. langchain_client.py uses MultiServerMCPClient to manage both a math server and a weather server, allowing the agent to choose the appropriate tool.

Does MCP Crash Course require external services?

Yes. The LangChain agent uses OpenAI’s API, so a valid OPENAI_API_KEY must be set in the .env file.

What transport does the project use?

The single‑server example uses stdio client communication. The multi‑server example uses MCP’s MultiServerMCPClient, though the exact transport is not explicitly stated.

Frequently asked questions

What are the runtime requirements?

Python 3.x and an OpenAI API key are required. Dependencies include `langchain-core`, `langchain-openai`, `langchain-mcp-adapters`, `langgraph`, `python-dotenv`, and `mcp`.

How do the two main scripts differ?

`main.py` uses a stdio client to connect to a single math server. `langchain_client.py` uses `MultiServerMCPClient` to manage both a math server and a weather server, allowing the agent to choose the appropriate tool.

Does MCP Crash Course require external services?

Yes. The LangChain agent uses OpenAI’s API, so a valid `OPENAI_API_KEY` must be set in the `.env` file.

What transport does the project use?

The single‑server example uses stdio client communication. The multi‑server example uses MCP’s `MultiServerMCPClient`, though the exact transport is not explicitly stated.

Comments

Basic information

More AI & Agents MCP servers

Nero AI Image Processing

nero-com

We provide AI-powered tools for image enhancement, upscaling, background removal, photo restoration, colorization, denoising, and compression. All features are available through our API documentation.

Agentic Atlas

Avery Jones

Consult field-tested agent-system design patterns through 8 hosted, read-only tools for orientation, deep reading, relationships, provenance, glossary terms, and publication decisions.

Agentery

ntlgnc

Free MCP for live and historical pricing for 13,000+ agents and MCPs. Never knowingly pay too much... or charge too little. Know the going rate. https://agentery.com.

BlazingCDN MCP - Content Delivery for Video, Software & Static Files

BlazingCDN

Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN

Magic Hour

Magic Hour MCP lets AI agents create and edit images, videos, and audio using Magic Hour’s hosted generation tools.