The open standard for teaching websites to speak AI agent language
Read the SpecificationAI agents are powerful, but they're locked out of most websites. Custom integrations for every site don't scale. Each agent needs custom code to understand a particular website's structure, forms, and interaction patterns.
This creates a world where:
WebMCP is an open protocol that lets any website publish a machine-readable manifest of what an AI agent can do with it. Instead of custom integration code, agents read the manifest and adapt automatically.
Think of it as RSS feeds for AI agents: a standardized format that websites publish once, and agents use universally.
1. Agent developer writes custom scraper for site.com
2. Site changes design or adds CSRF tokens
3. Scraper breaks; agent goes offline
4. Developer writes new scraper for next site
5. Repeat 1,000 times for 1,000 sites
1. Site publishes .webmcp manifest
2. Agent reads manifest, understands capabilities
3. Site updates design; updates manifest
4. Agent re-reads manifest, continues working
5. One protocol, infinite sites
Every website publishes a WebMCP manifest at /.webmcp.json:
Agents fetch this manifest once, then interact with the site using declared actions. When the site updates its capabilities, it updates the manifest. Agents adapt automatically.
Agents browse your store, fetch product details, create orders, check status - all via WebMCP endpoints you control.
Publish your calendar, availability, pricing, and booking process in a manifest. Agents schedule appointments on your behalf.
Agents interact with your CMS via WebMCP: search posts, read metadata, understand taxonomy, publish on your site.
Agents fill out your contact forms reliably with WebMCP endpoints; you get cleaner data, fewer parsing errors.
Publishing WebMCP is simple:
/.webmcp.jsonFor full specification, tools, and examples, visit the WebMCP documentation.
WebMCP is open-source and open to contributions. Join us in creating the standard for agent-website interaction.
View on GitHubWebMCP is a community standard. Built for humans and agents alike.
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