MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems. Using MCP, AI applications like n8n, Claude or ChatGPT can connect to data sources (e.g. local files, databases), tools (e.g. search engines, web scrapers) and workflows (e.g. automated tasks)—enabling them to access key information and perform tasks.
The Universal Commerce Protocol (UCP) is an open-source standard designed to power the next generation of agentic commerce. By establishing a common language and functional primitives, UCP enables seamless commerce journeys between consumer surfaces, businesses, and payment providers. It is built to work with existing retail infrastructure, and is compatible with Agent Payments Protocol (AP2) to provide secure agentic payments support. It also provides businesses flexible ways to integrate via APIs, Agent2Agent (A2A), and the Model Context Protocol (MCP).
UCP is developed by Google in collaboration with industry leaders including Shopify, Etsy, Wayfair, Target, and Walmart endorsed by over 20 global partners across the ecosystem like Adyen, Mastercard, Stripe, Visa, Zalando and many more.
A harness is every piece of code, configuration, and execution logic that isn't the model itself. A raw model is not an agent. But it becomes one when a harness gives it things like state, tool execution, feedback loops, and enforceable constraints.
Concretely, a harness includes things like:
Harness engineering forces us to think about designing systems around model intelligence.
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