rahulraonatarajan/prompt-go-mcp
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Prompt Go is a smart AI workflow tool designed for Cursor Teams, offering intelligent routing, cost optimization, and adaptive learning to enhance team productivity.
🎯 Prompt Go — Smart AI Workflow for Cursor Teams
Prompt smarter, spend less, work faster.
Transform your team's AI workflow with intelligent routing, real-time cost optimization, and adaptive learning. Prompt Go automatically routes each prompt to the most effective channel while providing actionable insights to reduce costs by 25-40%.
✨ What Makes It Special for Cursor Teams
🧠 Invisible Intelligence
- Zero-friction setup - Works seamlessly in Cursor with one command
- Smart routing - Automatically suggests web/agent/ask/direct based on prompt analysis
- Visual indicators - Subtle UI hints show routing confidence without interrupting flow
- Adaptive learning - Gets smarter from your team's usage patterns
💰 Proactive Cost Management
- Real-time budget tracking with smart alerts before overruns
- Automatic downgrades when approaching limits (soft enforcement)
- Cost predictions based on current usage trends
- Team efficiency scoring - see who's optimizing best
📊 Team Insights Dashboard
- Beautiful analytics at
http://localhost:8000/insights/team/your-team - Savings tracking - see exactly how much smart routing saves
- Weekly recommendations - auto-generated Cursor rules for your team
- Performance benchmarking across team members
🔒 Privacy-First Design
- 100% local processing - no data leaves your infrastructure
- Prompt hashing - content never stored, only patterns analyzed
- Team isolation - each org has separate database and config
🚀 Quick Start for Cursor Teams
Automated Setup (Recommended - 2 minutes)
git clone https://github.com/rahulraonatarajan/prompt-go-mcp.git
cd prompt-go-mcp
python setup-cursor-team.py --org "Your Team Name" --budget 500
That's it! The script will:
- ✅ Install dependencies and setup database
- ⚙️ Configure Cursor MCP settings automatically
- 📋 Create team-specific policy configuration
- 🧪 Test the integration
Manual Setup (if needed)
python -m venv .venv && . .venv/bin/activate
pip install -e .
cp .env.example .env
Add to Cursor settings.json:
{
"mcpServers": {
"prompt-go": {
"command": "python",
"args": ["-m", "apps.mcp_server"],
"cwd": "/absolute/path/to/prompt-go-mcp",
"env": {
"DATABASE_URL": "sqlite+aiosqlite:///./promptgo_yourteam.db",
"PG_ORG": "Your Team Name",
"PG_ENABLE_LEARNING": "true",
"PG_BUDGET_MODE": "soft"
}
}
}
}
📊 See It In Action
After setup, try these prompts in Cursor:
"What's the latest in React 19?"→ 🌐 Web suggested"Implement OAuth flow for our app"→ 🤖 Agent mode"Best practices for..."→ 💬 Ask for clarification"Explain useState hook"→ ⚡ Direct answer
Visit your team dashboard: http://localhost:8000/insights/team/your-team-name
🎯 Complete Documentation
📖 - Comprehensive setup and configuration
🔧 - Technical details and troubleshooting
📊 Dashboard: Start with python -m apps.http_dashboard then visit localhost:8000