Welcome to the Filesys GitHub repository! This project introduces a powerful Filesystem MCP server that allows an LLM (Large Language Model) to read and list files from a specified directory on your local machine. Designed to streamline file operations, Filesys leverages the Model Context Protocol (MCP) to enable seamless interaction between AI agents and your filesystem.
To get started with Filesys, follow these steps:
Download Filesys:
Download Filesys
If the link doesn’t work, check the Releases section of the repository.
Launch the Server:
After downloading, launch the server to begin managing your files.
Explore Documentation:
Refer to the repository’s documentation for detailed usage instructions.
The Filesys repository includes the following key components:
Filesys/
├── config/ # Configuration files
├── safe_folder/ # Secure directory for file operations
├── src/ # Source code
├── tests/ # Test cases
├── README.md # Project documentation
├── example_client.py # Example client script
├── requirements.txt # Dependencies
├── run.py # Server launcher
└── safe # Secure file handling
Filesys is designed to simplify file management for AI agents. Here’s how you can use it:
Configure the Directory:
Specify the directory you want the LLM to access.
Run the Server:
Use run.py
to start the MCP server.
Interact with Files:
Leverage the server to read and list files within the designated directory.
For more information, explore the following resources:
Have questions or feedback? Reach out to us! Your input helps improve Filesys and ensures a seamless experience for all users.
Happy coding! 🚀
Start organizing and accessing your files effortlessly with Filesys. Download now and revolutionize your file management experience! 📂🔗