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A WebMCP-native architecture studio where an engineer and their agent co-design a system, run it against traffic and failures, and turn the result into an explainable architecture—not a static diagram.
A public-benefits-style application form that a screen-reader user, motor-impaired user, or non-native English speaker can complete entirely by talking to their AI agent — because the page itself declares real, callable actions via WebMCP, instead of the agent guessing at a UI it can't reliably see.
A shared memory for you and your AI. Keeps completed work, rules to follow, and mistakes not to repeat, exposed to agents over WebMCP. Browser-local, no account, no server.
Catalog Health Copilot helps merchants find and fix the product-data problems that reduce visibility in search and AI shopping experiences. A merchant and an AI agent work together on one live page: the agent scans, prioritizes, and drafts improvements, while the merchant reviews and approves every change.
ToolGap analyzes how AI agents interact with WebMCP-enabled websites, reconstructs their tool-call journeys, detects inefficient patterns and missing capabilities, and helps developers improve their WebMCP surface.