Filesystem MCP Server
F

Filesystem MCP Server

This is a TypeScript-based File System MCP Server that provides a secure and reliable local file system operation interface for AI agents, including functions such as reading, writing, updating, and managing files and directories.
2.5 points
10.9K

What is the File System MCP Server?

The File System MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI models to interact with the local file system in a secure and standardized manner. It provides the ability to read, write, update, and manage files and directories.

How to use the File System MCP Server?

To start using the File System MCP Server, you first need to install and run the server, and then integrate it into your AI client. You can complete the configuration and start using it in just a few steps.

Applicable Scenarios

This server is very suitable for AI applications that need to interact with the local file system, such as data processing, automated script generation, or file analysis tasks.

Main Features

Set Default Working Directory
Define the default working directory for the current session to resolve relative paths.
Read File
Read the entire content of the specified file as UTF-8 text.
Write File
Write content to the specified file. Create the file if it does not exist.
Update File
Perform precise find and replace operations in an existing file, supporting regular expressions.
List Files and Directories
Recursively list all files and subdirectories under the specified path.
Delete File or Directory
Permanently delete the specified file or empty directory.
Create Directory
Create a new directory, supporting automatic creation of parent directories.
Move or Rename File/Directory
Move a file or directory from one path to another.
Copy File or Directory
Copy a file or directory to the target location, supporting recursive copying.
Advantages
Supports various file operations to meet diverse needs.
High security to prevent directory traversal attacks.
Easy to integrate into existing AI systems.
Comprehensive logging for easy debugging and monitoring.
Limitations
Requires certain technical knowledge to configure and run the server.
Some advanced features may not be intuitive for non-technical personnel.
Depends on specific environment configurations (e.g., Node.js).

How to Use

Install the Server
Clone the repository and install the required dependencies.
Build the Project
Compile the TypeScript code to generate JavaScript files.
Start the Server
Run the server to listen for requests from MCP clients.

Usage Examples

Read File Content
Demonstrate how to read the content of a file from a specified path.
Update File Content
Find and replace a specific string in a file.

Frequently Asked Questions

How to limit the scope of file operations?
Does it support regular expression search?
How to view server logs?

Related Resources

Official Documentation
Learn more about the Model Context Protocol.
GitHub Repository
Access the project's source code and examples.
Sample Configuration File
Download and refer to the sample configuration file.

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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