SQLite Database Demo

SQLite Database Demo

Some examples to build server, client test in model context protocol. Một số ví dụ sử dụng MCP

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SQLite Database Demo

This project demonstrates the usage of SQLite database with async support in a FastMCP application.

Features

  • Async SQLite database operations using aiosqlite
  • Automatic database initialization with sample data
  • Type-safe database context management
  • Proper connection lifecycle handling

Prerequisites

  • Python 3.7+
  • pip (Python package installer)

Installation

  1. Clone this repository
  2. Install the required dependencies:
pip install -r requirements.txt

Project Structure

  • server.py: Main FastMCP server implementation with database context management
  • database.py: SQLite database implementation with async support
  • demo.db: SQLite database file (created automatically on first run)

Database Schema

The demo database includes a users table with the following structure:

CREATE TABLE users (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    name TEXT NOT NULL,
    email TEXT UNIQUE NOT NULL
)

Sample data is automatically inserted on first run:

  • John Doe (john@example.com)
  • Jane Smith (jane@example.com)

Usage

  1. Start the server:
python server.py
  1. The database will be automatically initialized with the sample data on first run.

  2. Use the query_db tool to retrieve data from the database.

Database Operations

The Database class provides the following methods:

  • connect(): Creates a new database connection and initializes the schema
  • query(): Executes a sample query to retrieve all users
  • disconnect(): Closes the database connection

Customization

To modify the database schema or add new tables:

  1. Edit the _init_db() method in database.py
  2. Add new methods to Database class for custom queries
  3. Update the query_db tool in server.py to use new methods

Error Handling

The database implementation includes:

  • Automatic connection cleanup on server shutdown
  • Proper async context management
  • Type safety with Python type hints

Dependencies

  • aiosqlite>=0.19.0: Async SQLite database driver
  • pandas>=2.0.0: Data manipulation library
  • numpy>=1.24.0: Numerical computing library

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