Prompt Go MCP
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
๐ฏ Prompt Go โ 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%.
โจ What Makes It Special for Cursor Teams
๐ง 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
๐ฐ 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
๐ Team Insights Dashboard
Beautiful analytics at
http://localhost:8000/insights/team/your-teamSavings tracking - see exactly how much smart routing saves
Weekly recommendations - auto-generated Cursor rules for your team
Performance benchmarking across team members
๐ 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
Related MCP server: Agentled MCP Server
๐ 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 500That's it! The script will:
โ Install dependencies and setup database
โ๏ธ Configure Cursor MCP settings automatically
๐ Create team-specific policy configuration
๐งช Test the integration
Manual Setup (if needed)
python -m venv .venv && . .venv/bin/activate
pip install -e .
cp .env.example .envAdd 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"
}
}
}
}๐ See It In Action
After setup, try these prompts in Cursor:
"What's the latest in React 19?"โ ๐ Web suggested"Implement OAuth flow for our app"โ ๐ค Agent mode"Best practices for..."โ ๐ฌ Ask for clarification"Explain useState hook"โ โก Direct answer
Visit your team dashboard: http://localhost:8000/insights/team/your-team-name
๐ฏ Complete Documentation
๐ Cursor Team Setup Guide - Comprehensive setup and configuration
๐ง Integration Guide - Technical details and troubleshooting
๐ Dashboard: Start with python -m apps.http_dashboard then visit localhost:8000
This server cannot be deployed
Maintenance
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