MCP Server Neurolora P

🚀 MCP Server NeuroLORA Documentation

This documentation provides a detailed guide to the MCP Server NeuroLORA, including its features, installation steps, testing information, code quality tools, CI/CD pipeline, contribution guidelines, and license.

🚀 Quick Start

The MCP Server NeuroLORA offers a range of features and can be easily installed and configured. Follow the steps below to get started.

✨ Features

• MCP Protocol Support: Operates via standard input-output transmission protocol.
• Developer Mode: Provides a JSON-RPC terminal interface.
• File Storage Structure:
  • Creates a .neurolora symbolic link in the project root directory, pointing to the documentation directory.
  • Supports multiple projects, ensuring consistent file organization and quick access.

📦 Installation

1. Clone the repository.
2. Create and activate a virtual environment:

python -m venv .venv
source .venv/bin/activate  # Unix systems
# Or
.venv\Scripts\activate  # Windows systems

3. Install development dependencies:

pip install -e ".[dev]"

4. Start the server:
   • Standard mode (MCP service, standard input-output transmission):

     python -m mcp_server_neurolorap
     

   • Developer mode (JSON-RPC terminal interface):

     python -m mcp_server_neurolorap --dev
     

📚 Documentation

🔍 Testing Information

• The automated test suite covers over 80% of the code.
• Tests are run on Python 3.10, 3.11, and 3.12.
• Continuous integration is implemented via GitHub Actions.
• Regular security scans and dependency checks are conducted.

💻 Code Quality

The project uses the following tools to ensure code quality:

# Format code
black .

# Sort imports
isort .

# Coding check
flake8 .

# Type check
mypy src tests

# Security check
bandit -r src/
safety check

🚧 CI/CD Pipeline

The project uses GitHub Actions for continuous integration and deployment:

• Runs tests on Python 3.10, 3.11, and 3.12.
• Checks code format and style.
• Performs type checking.
• Runs security scans.
• Generates coverage reports.
• Builds and validates packages.
• Uploads test artifacts.

🤝 Contribution Guidelines

Contributions are welcome! Please refer to CONTRIBUTING.md for detailed instructions.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.