AI Chatbot Terms > 1 min read

What is WebMCP (Web Model Context Protocol)?

A web-based implementation of the Model Context Protocol that allows AI agents to discover and interact with websites programmatically.

More about WebMCP (Web Model Context Protocol)

WebMCP (Web Model Context Protocol) is a standard that extends the Model Context Protocol (MCP) to the web. It allows AI agents from platforms like ChatGPT, Perplexity, OpenClaw, and Google to interact with websites beyond simple page crawling.

With WebMCP, a website exposes a structured endpoint that AI agents can use to search content, retrieve specific information, and take actions like booking appointments or looking up products. This is a step beyond having an llms.txt file, which provides static context. WebMCP enables dynamic, two-way interaction between AI agents and your site.

Websites that implement WebMCP are better positioned for the growing wave of AI agent traffic, where automated systems browse the web on behalf of users to compare products, answer questions, and complete tasks.

SiteSpeakAI adds WebMCP support to your site automatically when you install the chatbot widget. Learn more in our WebMCP documentation. You can also check your site's AI agent readiness to see if WebMCP is already detected.

Frequently Asked Questions

A regular API requires developers to integrate with specific endpoints and authentication methods. WebMCP uses the standardized Model Context Protocol, which means any MCP-compatible AI agent can discover and interact with your site automatically without custom integration work.

They serve different purposes. An llms.txt file provides static context about your site that AI models can reference. WebMCP enables dynamic interaction, letting AI agents search your content, retrieve specific data, and take actions. For full AI agent readiness, both are recommended.

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