Filesystemmcp
F

Filesystemmcp

A Python-based Model Context Protocol (MCP) server with a file system backend that provides functions such as note-taking, file operations, directory management, search, compression, and metadata retrieval.
2 points
6.1K

What is FileSystemMCP?

FileSystemMCP is a Model Context Protocol server that uses the file system as the backend. It allows users to manage files, take notes, search for content, and handle compressed files through a simple interface.

How to use FileSystemMCP?

Through simple API calls or command-line interfaces, you can easily perform various file system operations. After the server is running, you can interact with it through network requests.

Use cases

Suitable for applications that require remote file system management, note-taking tools, content management systems, and AI application development that requires file operation functions.

Main Features

Note-taking
Provides functions for creating, editing, and managing notes, supporting multiple formats.
File I/O Operations
Supports basic file read and write operations, including creating, deleting, and modifying files.
Directory Management
Can create, delete, and browse directory structures to manage file organization.
Content Search
Provides file content search function to quickly locate the required information.
File Compression
Supports file compression and decompression operations for easy file transfer and storage.
Metadata Retrieval
Can obtain file metadata information, such as creation time and size.
Advantages
Lightweight and easy to deploy
Provides rich file operation functions
Supports processing of multiple file formats
Can be remotely accessed via the network
Limitations
Performance may be limited by the file system
Efficiency is limited for large-scale file processing
Requires Python environment support

How to Use

Install Dependencies
Ensure that Python 3.x and the necessary dependency libraries are installed on the system.
Start the Server
Run the main program to start the MCP server.
Connect to the Server
Connect to the running server through the API or client tools.
Perform Operations
Send requests to perform various file system operations.

Usage Examples

Create a New Note
Create a new note through the API and save it to the specified directory
Search for Project Files
Search for specific keywords in all project files
Compress Log Files
Package and compress log files in the specified directory

Frequently Asked Questions

How to improve search performance?
What is the maximum supported file size?
Can multiple requests be processed simultaneously?
How to back up data?

Related Resources

GitHub Repository
Project source code and issue tracking
API Documentation
Complete API reference documentation
Usage Tutorial Video
Getting started video tutorial

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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