Tamagotchi MCP Server

🚀 Step-by-Step Guide: Quickly Build Your Own Tamagotchi MCP Server with FastAPI

This guide provides a detailed walk - through on using FastAPI to rapidly construct a Tamagotchi MCP Server, enabling you to set up a functional server efficiently.

🚀 Quick Start

Prerequisites

• Python 3.7 or higher installed on your system.
• Basic knowledge of Python and web development concepts.

Installation

First, create a virtual environment (optional but recommended) and activate it:

python -m venv myenv
source myenv/bin/activate  # For Linux/Mac
myenv\Scripts\activate  # For Windows

Then, install FastAPI and Uvicorn (a server for running FastAPI applications):

pip install fastapi uvicorn

Building the Server

Create a Python file, for example, main.py, and add the following code:

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"Hello": "Welcome to Tamagotchi MCP Server"}

Running the Server

Run the following command in the terminal:

uvicorn main:app --reload

Now, you can access the server by opening your browser and navigating to http://127.0.0.1:8000.

✨ Features

• Fast Development: FastAPI leverages Python type hints to provide automatic data validation, serialization, and documentation generation, speeding up the development process.
• High Performance: Built on top of Starlette and Pydantic, it offers excellent performance, capable of handling a large number of concurrent requests.
• Easy to Use: With a simple and intuitive API design, even beginners can quickly get started with server development.

💻 Usage Examples

Basic Usage

from fastapi import FastAPI

app = FastAPI()

@app.get("/")
def read_root():
    return {"Hello": "Welcome to Tamagotchi MCP Server"}

@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}

In this basic example, we define two API endpoints. The root endpoint (/) returns a simple welcome message, and the /items/{item_id} endpoint accepts an item ID and an optional query parameter q.

Advanced Usage

from fastapi import FastAPI, Depends
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float
    is_offer: bool = None

def get_db():
    # Here you can add code to connect to a database
    db = None
    try:
        yield db
    finally:
        if db:
            db.close()

@app.post("/items/")
def create_item(item: Item, db = Depends(get_db)):
    # Here you can add code to insert the item into the database
    return item

In this advanced example, we use Pydantic models for data validation, and dependency injection to manage database connections. The /items/ endpoint accepts a JSON object representing an item and returns it.

📚 Documentation

FastAPI automatically generates interactive API documentation. You can access it at the following URLs:

• Swagger UI: http://127.0.0.1:8000/docs
• ReDoc: http://127.0.0.1:8000/redoc

These documentation pages provide detailed information about all the API endpoints, including request and response formats, parameter descriptions, etc.

🔧 Technical Details

FastAPI is a modern, fast (high - performance) web framework for building APIs with Python 3.7+ based on standard Python type hints. It uses Starlette for handling HTTP requests and Pydantic for data validation and serialization.

When a client sends a request to a FastAPI application, the application first parses the request data according to the defined type hints. Then, it validates the data and calls the corresponding endpoint function. The return value of the endpoint function is serialized into an appropriate format (usually JSON) and sent back to the client.

The use of type hints in FastAPI not only improves code readability and maintainability but also enables automatic generation of API documentation and data validation, reducing the chance of errors during development.