Skip to content
| Marketplace
Sign in
Visual Studio Code>Machine Learning>MCP Cursor FlowiseAINew to Visual Studio Code? Get it now.
MCP Cursor FlowiseAI

MCP Cursor FlowiseAI

BigBrother-cursor

| (0) | Free
🚀 Visual Flowise AI management for Cursor IDE - 22 powerful tools with drag-and-drop interface
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Copied to clipboard
More Info

🚀 MCP Cursor FlowiseAI Extension

Visual Flowise AI management for Cursor IDE - 22 powerful tools with drag-and-drop interface

Version Downloads Rating

🎯 What is this Extension?

The MCP Cursor FlowiseAI Extension provides a visual interface for managing your Flowise AI resources directly within Cursor IDE. Built on top of our powerful MCP server with 22 tools, this extension brings the full power of Flowise AI to your development environment.

✨ Features

📊 Visual Dashboard

  • Real-time Overview: See all your Flowise resources at a glance
  • Quick Actions: Create chatflows, document stores, and assistants with one click
  • Connection Status: Monitor your Flowise API connection
  • Statistics: Track your AI resources and usage

🔄 Chatflow Management

  • Visual Tree View: Browse all your chatflows in the sidebar
  • Quick Actions: Edit, delete, and test chatflows directly
  • Status Indicators: See which chatflows are deployed
  • One-Click Testing: Test your chatflows with sample questions

📚 Document Store Management

  • Knowledge Base Browser: View all your document stores
  • Upload Interface: Drag-and-drop document uploads
  • Search & Query: Test your RAG systems
  • Metadata Management: Organize your knowledge bases

🤖 Assistant Management

  • AI Assistant Browser: View all your AI assistants
  • Quick Creation: Create new assistants with templates
  • Model Selection: Choose from different AI models
  • Instruction Management: Edit assistant instructions

⚙️ Variable Management

  • Configuration Browser: View all your variables
  • Type Support: String, number, boolean, and object variables
  • Quick Editing: Edit variable values inline
  • Dynamic Configuration: Manage your AI system settings

🚀 Quick Start

1. Install the Extension

# Install from VS Code Marketplace (when published)
code --install-extension Big-Brother.mcp-cursor-flowiseai-extension

2. Configure Flowise Connection

  1. Open Cursor IDE
  2. Go to Settings → Extensions → MCP Cursor FlowiseAI
  3. Set your Flowise API Key and Endpoint
  4. The extension will automatically connect to your Flowise instance

3. Start Building AI Systems

  • Open Dashboard: Click the Flowise icon in the activity bar
  • Create Resources: Use the quick action buttons
  • Manage Everything: Browse and edit your AI resources in the sidebar

🛠️ Configuration

Required Settings

{
  "mcp-cursor-flowiseai.apiKey": "your_flowise_api_key_here",
  "mcp-cursor-flowiseai.apiEndpoint": "http://localhost:3000"
}

Optional Settings

{
  "mcp-cursor-flowiseai.autoRefresh": true,
  "mcp-cursor-flowiseai.showNotifications": true
}

📋 Commands

Command Description
FlowiseAI: Open Dashboard Open the main Flowise dashboard
FlowiseAI: Create New Chatflow Create a new chatflow
FlowiseAI: Create Document Store Create a new document store
FlowiseAI: Create AI Assistant Create a new AI assistant
FlowiseAI: Refresh All Data Refresh all tree views

🎨 User Interface

Activity Bar

  • Flowise Icon: Access the main dashboard and tree views
  • Resource Counters: See how many resources you have

Sidebar Views

  • Chatflows: Browse and manage your conversation flows
  • Document Stores: Manage your knowledge bases
  • Assistants: View and edit your AI assistants
  • Variables: Configure your system variables

Dashboard

  • Statistics Cards: Overview of your AI resources
  • Quick Actions: One-click resource creation
  • Connection Status: Monitor your Flowise connection

🔧 Development

Prerequisites

  • Node.js 16+
  • TypeScript 4.9+
  • VS Code Extension Development Host

Build from Source

# Clone the repository
git clone https://github.com/Big-Brother/mcp-cursor-flowiseai-extension.git
cd mcp-cursor-flowiseai-extension

# Install dependencies
npm install

# Compile TypeScript
npm run compile

# Package extension
npm run package

Testing

# Run tests
npm test

# Lint code
npm run lint

# Watch for changes
npm run watch

🤝 Contributing

We welcome contributions! This extension is built on top of our MCP-Cursor-FlowiseAI server.

Development Setup

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

🆘 Support

  • GitHub Issues: Report bugs or request features
  • Documentation: Full documentation
  • MCP Server: Underlying MCP server

🎯 Roadmap

v1.1.0 - Visual Flow Builder

  • Drag-and-drop chatflow builder
  • Node connection management
  • Flow validation and testing

v1.2.0 - Advanced Features

  • Document upload interface
  • Real-time collaboration
  • Performance analytics

v1.3.0 - Enterprise Features

  • Team management
  • Advanced security
  • API rate limiting

Built with ❤️ for the Cursor IDE and Flowise AI communities

Visual interface for the powerful MCP-Cursor-FlowiseAI server

  • Contact us
  • Jobs
  • Privacy
  • Manage cookies
  • Terms of use
  • Trademarks
© 2025 Microsoft