"A draft community group report on WebMCP was published on February 12 by the W3C Web Machine Learning Community Group. The WebMCP API is described in the report as a JavaScript interface that lets web developers expose web application functionality as "tools," meaning JavaScript functions with natural language descriptions and structured schemas that can be invoked by agents, browser's agents, and assistive technologies."
"Web pages that use WebMCP can be viewed as Model Context Protocol (MCP) servers that implement tools in client-side script instead of on the back end, enabling collaborative workflows where users and agents work together within the same web interface, according to the report. Editors of the report include Khusal Sagar and Dominic Farolino of Google and Brandon Walderman of Microsoft. The specification is neither a W3C standard nor on the W3C Standards Track, the report says."
W3C participants including Google and Microsoft launched the WebMCP API, a JavaScript interface that allows web applications to provide client-side "tools" to AI agents. The API enables agents to interact directly with web pages and participate in collaborative workflows with human users within the same web interface. A draft community group report published by the W3C Web Machine Learning Community Group describes WebMCP as a way for developers to expose functionality as "tools," defined as JavaScript functions with natural language descriptions and structured schemas callable by agents and assistive technologies. Web pages can act as Model Context Protocol servers implementing tools client-side instead of on the back end, and the specification is currently a draft not on the W3C Standards Track.
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