🗂️ File_RWLE — MCP File Server

A simple Model Context Protocol (MCP) server built using Node.js that allows you to read, write, list, edit, and delete files inside a workspace folder.

🚀 Features

• 📄 List files inside a workspace
• 📖 Read files with full content access
• ✍️ Write/Create files with custom content
• ✏️ Edit specific lines in existing files
• 🗑️ Delete files when needed
• 🧩 Works seamlessly with MCP-compatible clients like Claude Desktop and Cursor

🧠 How It Works

This MCP server uses the @modelcontextprotocol/sdk library to expose five powerful tools:

1. list_files - Lists all files in the workspace
2. read_file - Reads and returns file content
3. write_file - Creates or overwrites a file
4. edit_file - Edits specific lines in a file
5. delete_file - Deletes a file from the workspace

These tools can be accessed through any MCP-compatible client (like Cursor or Claude Desktop).

📦 Quick Start (Using npm package)

The easiest way to use this MCP server is through npm:

Step 1: Add to your MCP configuration

Add this to your claude_desktop_config.json or MCP settings file:

{
  "mcpServers": {
    "file_rwle": {
      "command": "npx",
      "args": ["-y", "mcp-file-rwle"]
    }
  }
}

Step 2: Restart your MCP client

Restart Claude Desktop or Cursor and the server will be automatically downloaded and started!

Step 3: Use it!

Your AI assistant can now:

• Create files in your workspace
• Read and edit existing files
• List all files in the workspace
• Delete files when needed

🛠️ Local Development Setup

Want to modify or contribute? Follow these steps:

Step 1: Clone the repository

git clone https://github.com/suvidhay/File_RWLE.git
cd File_RWLE

Step 2: Install dependencies

npm install

Step 3: Test locally

npm start

The server will start and create a workspace folder in your current directory if it doesn't exist.

🧪 Manual Testing

You can test file operations directly in Node.js:

node

Then run these commands:

import fs from "fs";
import path from "path";

const ROOT_DIR = path.join(process.cwd(), "workspace");

// Create a test file
fs.writeFileSync(path.join(ROOT_DIR, "test.txt"), "Hello MCP!");

// List files
console.log(fs.readdirSync(ROOT_DIR)); // ['test.txt']

// Read the file
console.log(fs.readFileSync(path.join(ROOT_DIR, "test.txt"), "utf-8")); // Hello MCP!

🌍 Publishing Your Own Version

Want to publish your modified version to npm?

Step 1: Update package.json

Change the package name to something unique:

{
  "name": "your-mcp-file-server",
  "version": "1.0.0",
  ...
}

Step 2: Login to npm

npm login

Step 3: Publish

npm publish --access public

Step 4: Use your package

{
  "mcpServers": {
    "my_file_server": {
      "command": "npx",
      "args": ["-y", "your-mcp-file-server"]
    }
  }
}

📂 Workspace Folder

• All file operations happen inside a workspace folder
• The folder is automatically created in your current working directory
• Files are isolated to this folder for safety

🔧 Configuration Locations

For Claude Desktop:

macOS:

~/Library/Application Support/Claude/claude_desktop_config.json

Windows:

%APPDATA%\Claude\claude_desktop_config.json

Linux:

~/.config/Claude/claude_desktop_config.json

For Cursor:

Check Cursor's MCP settings in the application preferences.

🐛 Troubleshooting

Server not connecting?

1. Make sure you've restarted your MCP client after adding the configuration
2. Check that Node.js is installed: node --version
3. Verify the configuration JSON syntax is correct

Files not appearing?

• The workspace folder is created in the directory where the server runs
• Check the working directory of your MCP client

Permission errors?

• Ensure you have write permissions in the directory
• On macOS/Linux, you might need to allow terminal access in System Preferences

🛡️ Available Tools

1. list_files

Lists all files in the workspace folder.

Input: None
Output: Array of filenames

2. read_file

Reads the content of a specific file.

Input:

• filename (string): Name of the file to read

Output: File content as text

3. write_file

Creates a new file or overwrites an existing one.

Input:

• filename (string): Name of the file
• content (string): Content to write

Output: Success confirmation

4. edit_file

Edits specific lines in an existing file.

Input:

• filename (string): Name of the file to edit
• edits (array): Array of { line: number, newText: string } objects

Output: Success confirmation with number of lines edited

5. delete_file

Deletes a file from the workspace.

Input:

• filename (string): Name of the file to delete

Output: Success confirmation

📝 Example Usage

Once configured, you can ask your AI assistant:

"Can you create a file called notes.txt with 'Hello World'?"

"List all files in my workspace"

"Read the contents of notes.txt"

"Edit line 1 of notes.txt to say 'Hello MCP!'"

"Delete the file notes.txt"

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License.

🧑‍💻 Author

Suvidha Yadav

• GitHub: @suvidhay
• Package: mcp-file-rwle

🙏 Acknowledgments

• Built with @modelcontextprotocol/sdk
• Uses Zod for schema validation