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model_context_protocol_examples

See in Github
2025-04-02

在模型上下文协议中构建服务器测试的一些示例。 mộtsốvídụsửdụngmcp

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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:

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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    Reviews

    4 (1)
    Avatar
    user_Qacl6PFJ
    2025-04-16

    Model_context_protocol_examples is an excellent resource created by anhnx000. The repository on GitHub provides clear examples and thorough explanations. It's incredibly useful for anyone looking to understand and implement model context protocols efficiently. Highly recommended for developers seeking to enhance their knowledge in this area.