Integrates with Mastercard Agent Pay for tokenized payment execution and cryptographic financial delegation, enabling agents to complete purchases within spend bounds without exposing PAN data.
Integrates with Visa Agent Pay for tokenized payment execution and cryptographic financial delegation, enabling agents to complete purchases within spend bounds without exposing PAN data.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@genpark-agentic-commerce-ap2-payment-delegation-vault-skill issue an AP2 spend token for $50 at Best Buy, valid 24h"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: L402 Gateway
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]
endCapability | 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 |
python example_usage.pyRun the native STDIO MCP server for Claude Desktop, Cursor, or Antigravity integration:
python mcp_server.pyAdd to your claude_desktop_config.json or agent runner config:
{
"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"]
}
}
}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.
Run python mcp_server.py --test to verify MCP protocol discovery and tool schema negotiation.
This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be deployed
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