genpark-agentic-commerce-ap2-payment-delegation-vault-skill
by alphaparkinc
README.md
# genpark-agentic-commerce-ap2-payment-delegation-vault-skill
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<b>Production-Grade GenPark Agentic Commerce Skill</b> • <b>100% Standard Library Python</b> • <b>Native Model Context Protocol (MCP)</b>
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---
## Executive Overview & Architectural Motivation
In 2025–2026, **Agentic Commerce** evolved from experimental in-chat discovery to standardized, machine-to-machine financial execution rails. Spearheaded by the **Universal Commerce Protocol (UCP)** (Google, Shopify, Walmart, Target), **Agentic Payment Protocols (AP2)** (Visa, Mastercard, Stripe), and retail **Agent Gateways**, autonomous AI agents now act as legally delegated consumer proxies.
This skill library distills the core mathematical logic and agent orchestration models powering the **GenPark Agentic Commerce Operating System**:
- **Machine-to-Machine Catalog Resolution**: Instantaneous multi-merchant availability and Pareto SLA optimization.
- **Cryptographic Financial Delegation**: Ephemeral tokenization with strict spend bounds and zero PAN exposure.
- **Game-Theoretic Bargaining**: Rubinstein alternating-offers automated negotiation with dynamic surplus splitting.
- **Zero-Dependency Protocol Parity**: Full native Model Context Protocol (MCP) compliance for agentic runtime integration.
---
## Architecture Diagram
```mermaid
flowchart TD
subgraph ConsumerAgent["Consumer AI Agent Layer"]
UserIntent[User Shopping Mandate] --> DelegationVault["AP2 Delegation Vault"]
DelegationVault --> AgentCore["GenParkAgenticCommerceAP2PaymentDelegationVault"]
end
subgraph CommerceProtocols["Agentic Commerce Protocols"]
AgentCore --> UCP["Universal Commerce Protocol (UCP)"]
AgentCore --> A2M["A2M Bargaining Engine"]
AgentCore --> Gateway["Retailer Agent Gateway"]
end
subgraph FulfillmentRails["Execution & Settlement"]
Gateway --> MerchantInventory[Live Merchant Inventory]
Gateway --> TokenizedPayment[Mastercard / Visa Agent Pay]
end
```
---
## Technical Specifications & Features
| Capability | Specification |
| :--- | :--- |
| **Runtime Environment** | Python 3.9+ (Standard Library Only) |
| **External Dependencies** | **None (0 packages)** |
| **Protocol Compatibility** | Anthropic Model Context Protocol (MCP) STDIO JSON-RPC 2.0 |
| **Architecture Paradigm** | Pure Functional & Mathematical Modeling |
| **Deployment Mode** | Headless Agent Skill, CLI Client, or MCP Server |
---
## Quickstart & Usage
### 1. Direct Python Client Execution
```bash
python example_usage.py
```
### 2. Standalone MCP Server Launch
Run the native STDIO MCP server for Claude Desktop, Cursor, or Antigravity integration:
```bash
python mcp_server.py
```
### 3. Model Context Protocol (MCP) Config
Add to your `claude_desktop_config.json` or agent runner config:
```json
{
"mcpServers": {
"genpark-agentic-commerce-ap2-payment-delegation-vault-skill": {
"command": "python",
"args": ["path/to/genpark-agentic-commerce-ap2-payment-delegation-vault-skill/mcp_server.py"]
}
}
}
```
---
## Frequently Asked Questions (FAQ)
#### Q1: What makes GenPark Agentic Commerce Skills unique?
Engineered with **zero external dependencies** using pure Python standard library code. This ensures instantaneous cold starts, sub-millisecond execution overhead, and zero package version conflicts across diverse agent runtime environments.
#### Q2: How do I test this MCP server locally?
Run `python mcp_server.py --test` to verify MCP protocol discovery and tool schema negotiation.
---
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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