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Expose your quote-request workflow as a structured tool with fields such as name, contact details, service type and job description.
WebMCP implementation planning
WebMCP Builder helps you identify important customer actions such as quote requests, bookings, enquiries and forms, then create a structured implementation plan for turning them into tools AI agents can understand and use.
Built for websites that want to move from being understood by AI agents to being usable by them.
The problem
Most websites were designed for people clicking buttons, filling in forms and navigating pages manually. AI agents need clearer, structured ways to understand what actions are available, what information is required and what result each action produces.
How it works
01
Choose the customer actions that matter on your website.
02
Specify the inputs, expected behaviour and result for each action.
03
Create a structured WebMCP implementation plan tailored to your website and platform.
04
Return to AG AgentReady and confirm that the action can be discovered and inspected correctly.
Examples
Expose your quote-request workflow as a structured tool with fields such as name, contact details, service type and job description.
Help agents understand the information required to begin or complete a booking workflow.
Turn general contact and enquiry forms into clearly defined agent actions.
Allow an agent to determine whether a business serves a customer’s location.
Structure common contact actions so agents can identify the correct path instead of guessing from page content.
Define other important actions specific to your website or business process.
Suitability depends on the workflow, available integrations and required safeguards. Not every action can or should be fully automated.
Plain-English guide
WebMCP is an emerging approach for exposing website capabilities as structured tools that AI agents can discover and understand. Instead of forcing an agent to interpret a visual interface like a human, a website can describe available actions, required inputs and expected results more explicitly.
AG AgentReady connection
WebMCP Builder is part of a broader Agent Readiness process.
See what AI agents can currently discover, understand and use.
Identify missing actions and readiness gaps.
Use WebMCP Builder to create the tools that are missing.
Reassess the website and confirm what is actually available.
Find the problem. Fix the problem. Prove the result.
Audience
You do not need to start with a full API project. WebMCP Builder is intended to help define the actions that matter first, then produce clearer implementation guidance.
Implementation output
The Builder produces planning and implementation guidance. Deployment and runtime execution depend on your website, platform, integrations and security requirements.
Start with your existing website actions and turn the ones that matter into structured tools.
FAQ
Learn more about our methodology, browse the readiness research, or explore the verified directory.