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A WebMCP reference implementation for trustworthy AI commerce: agents search, compare and reserve one-of-one inventory with human approval.
RESCASAP.UY uses WebMCP to let AI agents discover, compare and prepare discounted surplus-food reservations, while people keep control of the final confirmation.
The WebMCP-powered marketplace where humans and AI agents shop together.
A capability firewall for AI agents. Close a port and the agent's tool stops existing — not refused, unregistered.
Booksy Reloaded lets an AI compare Tampa professionals, securely use a customer's history, book exact matches within preset limits, and ask only when a substitution needs a decision.
Nest is an agent-native flat hunt: you and ChatGPT share one live London board - map, shortlist, viewings, and offers - via WebMCP tools with your confirm on anything that commits.
Turn an exact wall-art request into an inspected, printer-packed fabrication package through four visible WebMCP tools.
programmable financial infrastructure that gives AI agents the ability to hold, receive, spend, save, and manage USDC autonomously.
Unit tests for contract language. A browser agent stages competing clause readings and repairs a fix through WebMCP tools; the page runs the tests; a person decides.
Tweaksy lets people describe accessibility needs naturally. With WebMCP, websites safely preview personalized colors, text, and focus modes—without rebuilding the page.
A shared human + AI storefront where agents search, compare and act on live commerce data through WebMCP.
Clean, timestamped transcripts from any video URL, built for AI agents: MCP server, WebMCP tools on the page, REST API, and CLI. Whisper on the audio, not scraped captions.
The ecosystem quotes "10x faster" for WebMCP with no methodology behind it. AgentPerf measures it: 2.4x on a small page, 13.8x on a real one. And it ships the React layer that produces the gap.
The floor plan that talks back.
Firebreak uses WebMCP to let an AI coordinate four emergency robots. A human approves one exact rescue, and the agent loses control when the mission ends.
Compare AI inference prices across providers manually or with AI agents. WebMCP lets agents search models, compare providers, estimate workload costs, and return results to the page
Your ears are the eval.
OpenFinance lets AI agents work directly with supplier portals using WebMCP, automating B2B finance workflows at scale, boosting team productivity, and eliminating costly, complex integrations.
A native developer debugger for WebMCP—inspect tools, execute calls, and trace browser-agent interactions.
Drawboard — An Agent-Native Random Draw A random draw application that AI agents can control through WebMCP.
A relaxing 3D garden you tend together with an AI agent.
A browser design editor that a person and an AI agent operate on the same canvas, at the same time.
Wire, run, repair, and verify API workflows with WebMCP agents.
Build one fantasy XI with an agent that compares futures, applies plans atomically, and respects your brief.
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