ChatGPT MCP Server
Enables ChatGPT to perform filesystem operations, execute PowerShell commands, and manage n8n workflows on a Windows machine.
README
ChatGPT MCP Server
Comprehensive Model Context Protocol (MCP) server that gives ChatGPT full access to your Windows machine with filesystem operations, command execution, and n8n workflow management.
🚀 Features
Filesystem Operations
- read_file: Read file contents
- write_file: Create or overwrite files
- list_directory: List directory contents
- create_directory: Create directories recursively
- delete_file: Delete files or directories
- search_files: Search files using glob patterns
- get_file_stats: Get file metadata
- move_file: Move or rename files
Command Execution
- execute_command: Run PowerShell commands with full output
n8n Workflow Management
- n8n_list_workflows: List all workflows
- n8n_get_workflow: Get workflow details
- n8n_activate_workflow: Activate a workflow
- n8n_deactivate_workflow: Deactivate a workflow
- n8n_execute_workflow: Execute a workflow manually
- n8n_list_executions: View workflow execution history
📦 Installation
# Navigate to the project directory
cd C:\Users\bermi\Projects\chatgpt-mcp-server
# Install dependencies
npm install
# Build the TypeScript code
npm run build
🎯 Usage
Start the Server
# Start the HTTP/SSE server
npm start
The server will start on http://localhost:3000 by default.
Connect ChatGPT
- Open ChatGPT desktop app
- Go to Settings → Features → MCP Servers
- Click "New Connector"
- Enter:
- Name: Custom Tool (or any name)
- Description: Full system access with filesystem and n8n
- MCP Server URL:
http://localhost:3000/sse - Authentication: OAuth (or None if not required)
- Check "I understand and want to continue"
- Click "Create"
Test the Connection
Ask ChatGPT to:
- "List files in my Projects directory"
- "Read the contents of package.json"
- "Show me all n8n workflows"
- "Execute the command 'Get-Date' in PowerShell"
🔧 Configuration
n8n API Key (Optional)
If your n8n instance requires authentication, you can either:
- Pass it with each call - ChatGPT will include the API key in tool parameters
- Set environment variable:
$env:N8N_API_KEY="your-api-key-here" npm start
Change Port
$env:PORT=8080
npm start
n8n Instance
The server is configured to connect to: http://192.168.50.246:5678
To change this, edit src/index.ts line 18:
const N8N_BASE_URL = "http://your-n8n-instance:port";
🛡️ Security Considerations
⚠️ WARNING: This server gives ChatGPT full access to:
- Your entire filesystem
- Command execution on your machine
- Your n8n workflows
Recommendations:
- Only run on trusted local networks
- Review all commands before ChatGPT executes them
- Consider adding authentication/authorization
- Run with limited user permissions if possible
- Monitor all operations
📝 Development
Watch Mode
npm run watch
Project Structure
chatgpt-mcp-server/
├── src/
│ ├── index.ts # Main MCP server (stdio-based)
│ └── http-server.ts # HTTP/SSE wrapper for ChatGPT
├── dist/ # Compiled JavaScript
├── package.json
├── tsconfig.json
└── README.md
🔍 Troubleshooting
ChatGPT Can't Connect
- Ensure the server is running:
npm start - Check the URL is exactly:
http://localhost:3000/sse - Verify no firewall is blocking port 3000
n8n Commands Fail
- Verify n8n is accessible:
http://192.168.50.246:5678 - Check if n8n API is enabled in settings
- Ensure API key is correct (if required)
File Operations Fail
- Check file paths are correct (Windows uses backslashes)
- Verify you have permissions for the operation
- Use absolute paths when possible
📚 Examples
Read a File
ChatGPT: "Read the file at C:\Users\bermi\Projects\hourly-autopilot-system\package.json"
Create a New File
ChatGPT: "Create a new file called test.txt with the content 'Hello World'"
List n8n Workflows
ChatGPT: "Show me all my n8n workflows"
Execute a Command
ChatGPT: "Run the command 'Get-ChildItem C:\Users\bermi\Projects' in PowerShell"
Search Files
ChatGPT: "Find all TypeScript files in the hourly-autopilot-system project"
📄 License
MIT
🤝 Support
For issues or questions, please check the logs in the terminal where the server is running.
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