MCP Translation Server

🚀 MCP Translation Server

MCP Translation Server is a high - performance machine translation system designed for Manchu - Chinese bilingual translation, offering a comprehensive solution for low - resource language translation.

🚀 Quick Start

1. Clone the Repository

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

2. Environment Configuration

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
source venv/bin/activate  # Linux/Mac
# or
venv\Scripts\activate    # Windows

# Install dependencies
pip install -r requirements.txt

3. Configuration Settings

# Copy the configuration template
cp config/config.example.py config/config.py

# Edit the configuration file
vim config/config.py

4. Start the Server

python app.py

✨ Features

1. Enhanced Morphological Analysis

• 🔍 Fully support Manchu grammar rules.
• 🎯 Accurately implement vowel harmony analysis.
• 📊 Intelligently predict word - form changes.
• ✨ Automatically detect and correct errors.

2. Advanced Translation Engine

• 🚀 Multi - level translation strategies.
• 📚 Intelligent corpus matching.
• 🔄 Integrate morphological analysis functions.
• 📊 Provide detailed translation metadata.

3. Rich Language Resources

• 📖 Complete language rule system.
• 💾 Extended parallel corpus.
• 📚 Optimized dictionary structure.
• 🔍 Context - aware analysis.

📚 Documentation

• API Documentation
• Usage Examples
• Operations Guide
• Contribution Guide

🔧 Technical Details

Core Components

1. Translation Engine

   • Neural network translation based on MT5.
   • Context - aware processing.
   • Support for batch processing.

2. Language Resources

   • Exhaustive dictionary library.
   • Grammar rule engine.
   • Morphological analyzer.
   • Parallel corpus.

3. System Features

   • Efficient caching mechanism.
   • Performance monitoring function.
   • Resource management module.
   • Error handling mechanism.

📊 Performance Metrics

• Average translation latency: Less than 1 second.
• 95th percentile latency: Less than 2 seconds.
• Simultaneous request processing capacity: Can handle over 100 requests per second.
• Cache hit rate: Over 80%.

📈 Monitoring and Management

• Real - time metrics: Implemented through Prometheus.
• Visual display: Provided by Grafana.
• Automatic alarm system: Set monitoring thresholds.
• Performance tracking: Record historical data.

⚠️ Important Note

1. Key Security: Do not expose SECRET_KEY and API_TOKEN in plain text. It is recommended to use strong random values.
2. Environment Variable Management: Store sensitive information in the .env file and avoid adding it to the version control system.
3. Regular Updates: To improve security, change keys and tokens regularly.

📄 License