Guess Number MCP Server

# Guess Number MCP Server (Remote) This project implements a remote MCP (Model Context Protocol) server for a simple number guessing game. The server is deployed on Google Cloud Run and allows a client chatbot to interact with it using JSON requests. The server tracks game state per user and keeps a log of conversations. ## Project Structure ``` │── server/ │ └── mcp_server.py # FastAPI server for the guessing game │── requirements.txt # Python dependencies │── Dockerfile # Container configuration for Cloud Run ``` ## Configuration 1. Clone the repository: ```bash git clone [<your-repo-url>](https://github.com/DiegoDuaS/MCP-Remote) cd MCP-Remote ``` 2. Install dependencies (for local testing): ```bash pip install -r requirements.txt ``` ### Running Locally 1. To run the server locally on port 8080: ```bash python server/mcp_server.py ``` 2. Access the endpoint at: POST http://127.0.0.1:8080/guess - JSON body format: ``` { "user_id": "default_user", "message": "start" } ``` ### Deploying to Google Cloud Run 1. Build the Docker image: ```bash gcloud builds submit --tag gcr.io/<PROJECT_ID>/guess-game ``` 2. Deploy to Cloud Run: ```bash gcloud run deploy guess-game \ --image gcr.io/<PROJECT_ID>/guess-game \ --platform managed \ --region us-central1 \ --allow-unauthenticated \ --port 8080 ``` The server will be available at: https://<SERVICE_NAME>-<PROJECT_NUMBER>.us-central1.run.app/guess