This is a robust Python-based MCP Filesystem Server. It enables AI models and applications to securely interact with the host system's file directories through a defined set of tools, allowing for operations like reading, writing, moving, and listing files and directories.
Overview
what is PyMCP-FS?
PyMCP-FS is a robust Python-based Model Context Protocol (MCP) Filesystem Server that allows AI models and applications to securely interact with the host system's file directories.
how to use PyMCP-FS?
To use PyMCP-FS, clone the repository, install the required dependencies, and run the server with specified allowed directories as command-line arguments.
key features of PyMCP-FS?
- Secure directory access with predefined allowed directories.
- Comprehensive file operations including reading, writing, moving, and listing files.
- Dynamic allowed directories configurable via command-line arguments.
- Robust logging and error handling.
use cases of PyMCP-FS?
- Enabling AI applications to manage files securely.
- Providing a controlled environment for file operations in AI models.
- Facilitating file access for various applications while maintaining security.
FAQ from PyMCP-FS?
- What is the Model Context Protocol (MCP)?
MCP is a protocol that standardizes how AI tools manage and access files within specified boundaries.
- Is PyMCP-FS free to use?
Yes! PyMCP-FS is open-source and free to use for everyone.
- What are the prerequisites for running PyMCP-FS?
You need Python 3.8+ and the fastmcp library installed.