agent-commerce-protocol-mcp is an open-source CLI tool that bridges payment protocols like Stripe ACP, Google AP2, and Coinbase x402 for agent payments in AI systems. Below are 17 ai & ml apps with similar functionality to agent-commerce-protocol-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
aipaygen-mcp is an open-source Python package and marketplace for AI trading agents, supporting the Model Context Protocol (MCP). It allows developers to buy, sell, and deploy agents for trading, research, code generation, and scraping. The platform facilitates agent-to-agent commerce and revenue sharing for agent creators.
mcp-cn-commerce is an open-source Python MCP server that enables AI agents to read and process business data from Chinese e-commerce platforms like Douyin Shop, JD.com, and Taobao. It is designed for developers building agent-based commerce solutions.
agent-brain-ag-mcp is an open-source Model Context Protocol (MCP) server that exposes Agent Brain as MCP tools, resources, and prompts. It enables developers to integrate Agent Brain capabilities into agent-based applications, supporting RAG workflows and Claude integration. Ideal for AI developers seeking extensible agent frameworks.
agentdrive-mcp is an open-source MCP server designed for use with Claude Code, enabling agent-driven automation and integration via API. It is suitable for developers building automation systems and agent frameworks.
agentpay-protocol is an open-source payment protocol that lets AI agents send and receive crypto payments, supporting Ethereum and USDC. It is designed for developers building autonomous agent systems.
smartoption-mcp is a developer infrastructure package that exposes smartoption-ai APIs as MCP servers and command-line tools. It enables AI agents and users to automate trading workflows, manage strategies, and access trading signals. The package includes customer and admin CLIs and supports self-hosted deployment.
agent-cost-allocator-mcp is an open-source CLI tool for allocating LLM usage costs across multiple tenants in agent-based SaaS environments. It enables accurate chargeback billing and integrates with agent-token-budget systems. Designed for developers building multi-tenant AI agent platforms.
agent-harnesses-mcp is an open-source MCP server that provides recommendations, search, and head-to-head decision guides for over 100 agent harnesses. It is designed for AI developers and researchers working with LLM-based agents, offering weekly rescoring and structured comparison tools.
agent-policy-enforcement-mcp is an open-source CLI tool that enables per-agent-pair IAM and policy enforcement for agent-to-agent (A2A) calls. It allows developers to define, enforce, and attest to policies, supporting compliance with EU AI Act and ISO 42001. Ideal for AI developers and security teams.
MCP Server for Claude Desktop - Agent OS kernel primitives including code safety verification, CMVK multi-model review, and IATP trust
PurposeBot provides trust infrastructure for the agent web, addressing the need for reliable agent identity, verified reputation, and machine-readable discovery. The platform is designed to help distinguish between agents that simply possess credentials and those that can be trusted based on evidence-backed behavior and authority. It connects agent identity with business authority, verified conduct, and discovery mechanisms, enabling sites and API providers to make informed trust decisions about automated agents. A central feature of PurposeBot is its approach to agent identity and authority. Agents can prove control over their cryptographic keys, while humans and businesses have the ability to back these agents, establishing a chain of authority that is bounded to the current scope, relationship, and key lineage. The system ensures that authority checks are always up-to-date and contextually relevant. Verified reputation is another core capability: PurposeBot builds reputation profiles from real transactions, signed conduct events, and incorporates safeguards against reputation gaming. The platform distinguishes between buyer, seller, and API behaviors, keeping their reputations separate and specific. PurposeBot also supports API trust by enabling API providers to assess an agent before granting access, and to submit signed evidence of the agent's behavior after interactions. This allows both positive and negative conduct to follow the agent across different sites, rather than being siloed or lost. The platform offers a searchable agent registry that includes tool and producer listings, trust scoring, and machine-readable discovery contracts. MCP-compatible clients can directly inspect discovery endpoints and trust scores, supporting transparent agent evaluation and integration. The platform is aimed at those building or operating within agent-based ecosystems, including developers, businesses, and API providers seeking to establish or verify trust in automated agents.
agentsync-mcp is an open-source Python package for decentralized coordination among AI agents. It enables agents to claim work, survey peers, detect conflicts, and reconcile changes using the Model Context Protocol (MCP) and git branch operations. Ideal for developers building distributed agent systems.
receipts-mcp is an open-source CLI tool that acts as a proxy for Model Context Protocol (MCP), recording and cryptographically signing AI agent tool calls. It is designed for developers building secure and auditable AI agent workflows.
ucm-mcp is an open-source MCP server designed for AI-agent code navigation and mapping. It supports AST parsing and integrates with AI agents to facilitate code analysis and automation. The tool is aimed at developers building intelligent code navigation solutions or automating codebase understanding.
agentfetch-mcp is an open-source MCP server designed for AI agents to fetch web URLs, estimate token usage, and route requests intelligently. It supports smart caching and is built for integration with agent frameworks and AI pipelines.
tollbooth-mcp is an open-source MCP server that demonstrates agent pay-per-call workflows for AI systems. It supports 402 challenge, payment, and signed receipts in a simulated environment. Designed for AI developers exploring monetization and agent protocol integration.
Model Context Protocol (MCP) is an open-source framework that provides a standardized way for AI models to communicate with external tools and services. It enables developers to build AI applications that integrate with multiple LLM providers using a unified protocol, simplifying tool integration and interoperability.
