git clone https://github.com/yourusername/mcp-translation-server.git
cd mcp-translation-server

# 创建虚拟环境
python -m venv venv

# 激活虚拟环境
source venv/bin/activate  # Linux/Mac
# 或
venv\Scripts\activate    # Windows

# 安装依赖
pip install -r requirements.txt

# 复制配置模板
cp config/config.example.json config/config.json

# 编辑配置文件
vim config/config.json  # 或使用其他编辑器

# 运行综合演示
python demo/comprehensive_demo.py

# 运行翻译服务器
python server.py

POST /api/v1/translate
Content-Type: application/json

{
    "text": "bi bithe arambi",
    "source_lang": "manchu",
    "target_lang": "chinese"
}

POST /api/v1/analyze
Content-Type: application/json

{
    "text": "arambi",
    "type": "morphology"
}

4. Run the server:

### Configuration

#### Environment Variables

The following environment variables are supported:

| Variable | Required | Description | Example |
|----------|----------|-------------|----------|
| `MCP_SECRET_KEY` | Yes | Secret key for session encryption | `openssl rand -hex 32` |
| `MCP_API_TOKEN` | Yes | API authentication token | `openssl rand -hex 32` |
| `MCP_REDIS_PASSWORD` | No | Redis server password | `your-redis-password` |
| `MCP_SMTP_PASSWORD` | No | SMTP server password | `your-smtp-password` |

#### Configuration File

The server can be configured by copying `config.example.py` to `config.py` and editing the values. The configuration file supports:

- API settings (host, port, debug mode)
- Security settings (secret key, API token)
- Rate limiting rules
- Cache configuration
- Model settings
- Resource paths
- Monitoring options
- Logging configuration
- Email notifications

**Important Security Notes:**

1. Never commit `config.py` to version control
2. Use strong, random values for `SECRET_KEY` and `API_TOKEN`
3. Store sensitive credentials in environment variables
4. Keep your `.env` file secure and never commit it
5. Regularly rotate security credentials

## Documentation

- [API Documentation](docs/api.md)
- [Usage Examples](docs/examples.md)
- [Operations Guide](docs/operations.md)
- [Contributing Guide](CONTRIBUTING.md)

## Architecture

### Core Components

1. Translation Engine
   - MT5-based neural translation
   - Context-aware processing
   - Batch processing support

2. Language Resources
   - Comprehensive dictionary
   - Grammar rule engine
   - Morphological analyzer
   - Parallel corpus

3. System Features
   - Efficient caching
   - Performance monitoring
   - Resource management
   - Error handling

## Performance

- Average translation latency:  80%

## Monitoring

- Real-time metrics via Prometheus
- Visualizations through Grafana
- Automated alerting system
- Performance tracking

## Contributing

We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

- Research paper authors
- Open-source community
- Contributors and maintainers

## Contact

- GitHub Issues: For bug reports and feature requests
- Email: your.email@example.com
- Documentation: [Full Documentation](docs/)
   - Analysis (C^a)
   - Structure (C^a+s)