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MCP Server Filesystem 01
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MCP Server Filesystem 01

A file system service based on the MCP protocol that provides a secure API for file operations in the project directory and supports AI assistants for code reading, writing, editing, and management.
Developer toolsFile system#File operations#AI collaboration#Project management#Security protocol.Python
2 points
5.4K
Open Site

Overview

Installation

Content Details

Alternatives

What is the MCP File System Server?

The MCP File System Server is a secure and easy-to-use tool that allows you to interact with an AI assistant through natural language to perform operations such as reading, writing, modifying, and deleting files in your project directory.

How to use the MCP File System Server?

First, install the server and specify the project directory. Then, configure an AI assistant (such as Claude) to connect to the server, and you can start using it.

Applicable scenarios

Suitable for developers who need efficient collaborative development, rapid prototyping, or automated code management.

Main features

List directory contents
View a list of all files and subdirectories in the project directory.
Read file content
Get the specific content of a specified file.
Save a new file or overwrite an existing file
Create a new file or write content to an existing file.
Append content to the end of a file
Add new content to the end of a file.
Delete a file
Permanently remove a specified file.
Edit file content
Use pattern matching to achieve precise file modification.
Advantages
Improve development efficiency and reduce repetitive work
Support AI-assisted code generation and optimization
Strictly limit the scope of operations to ensure security
Limitations
Require the installation and configuration of additional software
May still require manual intervention for complex tasks

How to use

Install the MCP File System Server
After cloning the repository, create a virtual environment and install the dependencies.
Run the server
Specify the project directory and start the server.
Configure the AI assistant
Configure the MCP server address and permissions according to the platform you are using (such as VSCode or the Claude desktop application).

Usage examples

List project files
Request to list all files in the project directory.
Read file content
Request to read the specific content of a file.

Frequently Asked Questions

Does the server support simultaneous access by multiple users?
How to ensure data security?

Related resources

MCP official documentation
Understand the basics of the Model Context Protocol.
GitHub repository
Download the source code and more examples.
Claude desktop application
Best practices for integrating the MCP server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "filesystem": {
      "command": "C:\\path\\to\\mcp_server_filesystem\\.venv\\Scripts\\python.exe",
      "args": [
        "C:\\path\\to\\mcp_server_filesystem\\src\\main.py",
        "--project-dir",
        "C:\\Users\\YourUsername\\Documents\\Projects\\MyProject",
        "--log-level",
        "INFO"
      ],
      "env": {
        "PYTHONPATH": "C:\\path\\to\\mcp_server_filesystem\\"
      },
      "disabled": false,
      "autoApprove": [
        "list_directory",
        "read_file"
      ]
    }
  }
}

{
  "mcpServers": {
    "filesystem": {
      "command": "C:\\path\\to\\mcp_server_filesystem\\.venv\\Scripts\\python.exe",
      "args": [                
        "C:\\path\\to\\mcp_server_filesystem\\src\\main.py",
        "--project-dir",
        "C:\\path\\to\\your\\specific\\project",
        "--log-level",
        "INFO"
      ],
      "env": {
        "PYTHONPATH": "C:\\path\\to\\mcp_server_filesystem\\"
      },
      "disabled": false,
      "autoApprove": [
        "list_directory",
        "read_file"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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