Generate safe, typed, human-reviewed WebMCP tools from the API contracts you already have, instead of hand-writing registerTool() calls for every action.
A friendly Chrome companion for WebMCP-powered websites with local approvals, voice, and multilingual support.
🧭 Agent-native career transition platform for Vietnam's workforce built on WebMCP. Exposes 12 browser-level tools for in-app AI agents (ChatGPT/Chrome), pairing verified Vietnam labor databases with human-in-the-loop plan approvals (requestUserInteraction). ✨
Owner-controlled public content for MCP and WebMCP: four read-only tools from one manifest, a native WordPress plugin, Next.js and Astro adapters, Express and static references, and five CMS bridges.
Browser-local data sonification studio. Turn CSV columns into deterministic, editable music with inspectable provenance.
MCP-native recruiting platform connecting candidates, recruiters, and AI agents through secure, auditable hiring workflows from sourcing to onboarding.
Fast markdown, text and code editor in a single HTML file. Web, Android, Windows. Phone-first, with compare/diffs and HTML/PDF/DOCX export. Real parsing and WebMCP tools for agents.
A better browser core designed for the Agent era.
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.
A food app that uses WebMCP
WebMCP-native incident review studio — agents investigate, humans authorize.
AmbiOS AI is a WebMCP-native workspace where humans and AI agents collaborate on real systems with shared context, explicit approvals, and full auditability. AmbiOS is built for teams who want agent assistance without surrendering control or visibility. Connect your tools once. Then collaborate with an agent safely across them.
A live 3D command center where an analyst and an AI agent investigate sensitive factory data together — built for the OpenAI WebMCP Challenge.
Your money. Your browser. Your agent. Local-first budgeting. The agent works in the page.
Start on Mac. Continue on Windows. Send it back. Nothing gets lost.
Your brief. Your board. Your agent. A local-first canvas. The agent draws in the page.
To associate your repository with the webmcp-tools topic, visit your repo's landing page and select "manage topics."