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.
rating : 2.5 points
downloads : 30
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 DirectoryDefine the default working directory for the current session to resolve relative paths.
Read FileRead the entire content of the specified file as UTF-8 text.
Write FileWrite content to the specified file. Create the file if it does not exist.
Update FilePerform precise find and replace operations in an existing file, supporting regular expressions.
List Files and DirectoriesRecursively list all files and subdirectories under the specified path.
Delete File or DirectoryPermanently delete the specified file or empty directory.
Create DirectoryCreate a new directory, supporting automatic creation of parent directories.
Move or Rename File/DirectoryMove a file or directory from one path to another.
Copy File or DirectoryCopy a file or directory to the target location, supporting recursive copying.
Advantages and Limitations
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 ContentDemonstrate how to read the content of a file from a specified path.
Update File ContentFind 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.
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