MCP Resume Scorer with Leaderboard

# 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 ```bash git clone https://github.com/Mokksh-bhatt/MCPs.git cd MCPs/mcp-bearer-token ``` ### 2. Create a virtual environment ```bash python -m venv venv .\venv\Scripts\activate # Windows ``` ### 3. Install dependencies ```bash pip install -r requirements.txt ``` ### 4. Add your Google OAuth credentials - Download `credentials.json` from [Google Cloud Console](https://console.cloud.google.com/) - Place it in the project root - If named differently, set the environment variable: ```powershell $env:GOOGLE_CLIENT_SECRETS = "your_file_name.json" ``` ### 5. Run the server ```bash python app.py ``` --- ## 🌍 Expose Locally with ngrok ```bash 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](https://github.com/Mokksh-bhatt)