bermingham85/chatgpt-mcp-server
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The ChatGPT MCP Server provides comprehensive access to Windows machines, enabling filesystem operations, command execution, and n8n workflow management.
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.