Nexez MCP Server

Nexez

Pages AI agents can actually book from.

Nexez is the infrastructure layer for agentic commerce. Businesses create clean, structured agent-ready pages alongside their main website. AI agents (ChatGPT, Claude, Grok, Perplexity, etc.) can discover offers, negotiate, and complete bookings autonomously.

One source of truth. Two audiences: beautiful for humans, brutally structured for agents.

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✨ Features

Core

• Agent-optimized pages with JSON-LD, llms.txt, agent.json, MCP endpoint, and semantic HTML
• Hybrid booking system:
  • Fixed Pricing → instant direct booking
  • Negotiable services → smart rules + LLM-powered negotiation
• Persistent negotiation links – agents can continue conversations even when offline
• Smart Rules Engine – business owners define per-offer rules (price floors, notice periods, blackout dates, etc.)
• AI Co-Pilot – intelligent suggestions for offers, pricing, and agent optimization
• Agent Simulator – preview how different models interpret your page
• Competitor Analyzer – see how agents perceive any competitor website

Analytics & Trust

• Real-time agent detection and traffic split
• Detailed analytics: agent visits, conversions, pipeline value, top queries
• Trust Score and verification system

Payments & Monetization

• Dual revenue model:
  • Subscription plans: Free, Launch, Pro, Scale, Enterprise (contact sales)
  • Platform commission on every agent-driven transaction (configurable per plan)
• Stripe Connect (business is Merchant of Record) + automatic platform fee deduction
• Stripe Billing for subscriptions

Technical

• Fully pluggable LLM engine (Gemini, Grok, Claude, OpenAI – swap with one env variable)
• Persistent state for all negotiations
• Supabase backend with clean schema
• Production-ready error handling, logging, and webhooks
• Published OpenClaw agent discovery skill: openclaw skills install nexez-agent-discovery
• Published OpenClaw tool plugin: openclaw plugins install clawhub:@nexez/openclaw-nexez
• Published TypeScript buyer-agent SDK: npm install @nexez/agent-sdk
• Published Python buyer-agent SDK: python -m pip install nexez-agent-sdk
• Copy-paste buyer-agent examples in examples/agents
• Agent submission pack in docs/agent-submission-pack.md
• Public agent access docs at /agents, linked from agent metadata

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🛠 Tech Stack

• Frontend: Next.js 16 (App Router) + Tailwind + shadcn/ui
• Backend: Next.js API routes + Supabase
• Database: Supabase (PostgreSQL)
• Payments: Stripe Connect + Stripe Billing
• LLM Layer: Pluggable (Gemini primary, with adapters for Grok, Claude, OpenAI)
• Deployment: Vercel

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🚀 Quick Start

git clone https://github.com/yourusername/nexez.git
cd nexez
npm install
cp .env.example .env.local
# Fill in your Supabase, Stripe, and LLM keys
npm run dev
Visit http://localhost:3000 to start creating agent pages.

📋 How It Works

Connect your offers (Calendly, Stripe, Shopify, CSV, or manual)
Define rules per offer (pricing floors, availability, scope limits)
Publish – on Nexez subdomain or your own custom domain
Agents discover & negotiate – fixed offers book instantly, negotiable offers go through smart rules + LLM
Get paid – platform commission is automatically deducted, rest goes to you


💰 Revenue Model

Subscription: Free, Launch, Pro, Scale, Enterprise (contact sales for Enterprise)
Platform Commission: Applied to every successful agent-driven transaction (configurable per plan, including Free)
Business owners are the Merchant of Record for transactions


🛣 Roadmap

 Agent detection & analytics
 Negotiations inbox
 LLM pluggable architecture
 Full Smart Rules Engine + LLM auto-actions
 Persistent negotiation UI + structured JSON for agents
 Advanced escrow & dispute handling
 Marketplace directory of agent pages
 OpenClaw / autonomous agent workflow distribution


🤝 Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines.

📄 License
Proprietary — Copyright © 2026 Nexez. All rights reserved. Source-available for reference only; not licensed for reuse or redistribution. See [LICENSE](LICENSE).

Built with ❤️ for the agent economy