AI Infrastructure · PyPI

agent-commerce-protocol-mcp

Agent Commerce Protocol MCP — bridges Stripe ACP + Google AP2 + Coinbase x402 for agent payments inside ChatGPT, AP2 coalition rails, and pay-per-call x402 flows. By MEOK AI Labs.

View on PyPI GitHub repository Claim & verify ownership

Details

Author
Nicholas Templeman
GitHub profile
@CSOAI-ORG
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/CSOAI-ORG/agent-commerce-protocol-mcp
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-29
Last active
—
Directory sync
2026-05-29
@CSOAI-ORG

Overview

Agent Commerce Protocol MCP — bridges Stripe ACP + Google AP2 + Coinbase x402 for agent payments inside ChatGPT, AP2 coalition rails, and pay-per-call x402 flows. By MEOK AI Labs.

Quick start

pip

pip install agent-commerce-protocol-mcp

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What agent-commerce-protocol-mcp can do

agentchataiagentic-commerceagent-payments
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Chat — Holds free-form conversations with users.
  • Ai — ai task automation.
  • Agentic Commerce — agentic-commerce task automation.
  • Agent Payments — agent-payments task automation.

Frequently asked questions

What is agent-commerce-protocol-mcp?
Agent Commerce Protocol MCP — bridges Stripe ACP + Google AP2 + Coinbase x402 for agent payments inside ChatGPT, AP2 coalition rails, and pay-per-call x402 flows. By MEOK AI Labs.
How do I install agent-commerce-protocol-mcp?
Use pip: `pip install agent-commerce-protocol-mcp`. Full setup details on the source page linked above.
Is agent-commerce-protocol-mcp open source?
agent-commerce-protocol-mcp is published on PyPI.
What are alternatives to agent-commerce-protocol-mcp?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for agent-commerce-protocol-mcp is sourced from PyPI, published by Nicholas Templeman.

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