About Fcc MCP Course
Fcc MCP Course is an MCP server published by BarrileteChapin in the Developer Tools category: code related to a course on Freecodecamp.
The repository has 22 stars and 31 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/BarrileteChapin/FCC-MCP-CourseThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
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README
FreeCodeCamp Model Context Protocol (MCP) Tutorial
This repository contains the code and examples for the FreeCodeCamp course on Model Context Protocol (MCP). The repository is structured to provide both the course reference code and practice materials.
Repository Structure
The repository is organized into two main sections:
1. MainCode/
This directory contains the original code used during the course tutorial. It includes:
Scenario1/: Basic MCP calculator implementationScenario2/: FastAPI integration with MCPScenario3/: FreeCodeCamp RSS feed readerdeployment/: Deployment configuration examples
2. Practice/
This directory contains tutorial-focused versions of the same code, with:
- Detailed step-by-step comments
- Comprehensive documentation
- Clear explanations of concepts
- Usage examples and instructions Perfect for learning and experimenting on your own!
Getting Started with MCP
To use MCP in Visual Studio Code, you need to configure it properly:
- Create a
.vscodefolder in your project root:
mkdir .vscode
- Create an
mcp.jsonfile inside the.vscodefolder with this template:
{
"servers": {
"Calculator-STDIO": {
"command": "python",
"args": [
"Scenario1/fastmcp_calculator.py"
]
},
"Calculator-HTTP": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8002/mcp"
]
}
}
}
Getting Started
- Clone this repository
- Set up your Python virtual environment
- Install the required packages:
pip install -r requirements.txt - Start with the Practice/ directory to learn the concepts
- Reference MainCode/ to see the production-ready implementations
README fetched from the repository 5 days ago. The original is authoritative.