MCP Resume Scorer with Leaderboard

Welcome to the MCPs repository! This project showcases custom MCP server implementations designed to provide AI models with secure, contextual access to tools and data. Whether you're building resume scoring endpoints, integrating OAuth, or experimenting with FastAPI and Gemini, this repo is your playground for creative, real-world AI utilities.

🚀 Features

✅ Resume scoring with AI-based feedback
🔐 Google OAuth integration for secure access
⚡ FastAPI endpoints with robust error handling
🧪 Swagger UI for easy testing and documentation
🌐 ngrok tunneling for public access and webhook testing

📁 Project Structure

mcp-starter-main/
├── mcp-bearer-token/
│   ├── app.py                # Flask app with OAuth and token handling
│   ├── credentials.json      # Google OAuth secrets (not committed)
│   ├── requirements.txt      # Python dependencies
│   └── README.md             # You're reading it!

🔧 Setup Instructions

1. Clone the repo

git clone https://github.com/Mokksh-bhatt/MCPs.git
cd MCPs/mcp-bearer-token

2. Create a virtual environment

python -m venv venv
.\venv\Scripts\activate  # Windows

3. Install dependencies

pip install -r requirements.txt

4. Add your Google OAuth credentials

Download credentials.json from Google Cloud Console
Place it in the project root
If named differently, set the environment variable:

$env:GOOGLE_CLIENT_SECRETS = "your_file_name.json"

5. Run the server

python app.py

🌍 Expose Locally with ngrok

ngrok http 5000

Visit http://127.0.0.1:4040 for the ngrok dashboard and copy your public URL.

🧠 Future Plans

Add leaderboard scoring and resume feedback visualization
Integrate Gemini fallback models
Deploy to cloud platforms for persistent access

🤝 Contributing

Pull requests, ideas, and feedback are welcome! Feel free to fork and build your own MCP extensions.

📄 License

This project is open-source under the MIT License.

✨ Author

Built with curiosity and creativity by Mokksh Bhatt

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Enables AI-powered resume scoring and feedback through secure Google OAuth authentication. Provides FastAPI endpoints for resume evaluation with plans for leaderboard visualization and competitive scoring features.

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