A WebMCP implementation means turning the important flows on your website into tools that AI agents can discover and call directly, without having to guess from a page's HTML content what actions are possible. Our service covers the entire journey: identifying the flows worth exposing, writing the tools, publishing the discovery manifest and running a final verification in a real browser, not just on paper. We work on the platform you already have, without proposing theme changes or CMS migrations.
What a WebMCP implementation means, technically
We start with a discussion about the actual actions your site's visitors take: searching for products, checking availability, adding to cart, booking an appointment, submitting a form, or any other step relevant to your business. We don't turn the entire site into tools, we choose, together with you, the flows that make technical and commercial sense to expose to an AI agent. For each selected flow, we write imperative tools through modelContext, with complete parameter schemas and useful descriptions, so an agent understands exactly what data it needs to send and what it will receive back. A vague schema or a generic description leads to incorrect calls or to a tool the agent simply ignores.
What we deliver, specifically
At the end of an implementation, you receive a complete package, not just a few lines of code added to the site. The standard deliverables include:
- WebMCP tools written and deployed to production for the agreed flows, with complete parameter schemas.
- An origin trial token correctly configured for your domain.
- A discovery manifest, published so AI agents can identify the available tools.
- Technical documentation on the implemented tools, useful to your team or to other providers.
- A final verification report, with the results of tests performed in a real browser.
If you'd like an assessment of your site's current state first, before deciding which flows are worth implementing, we recommend our audit and preparation for AI agents service, which can precede this implementation.
We work on your existing platform
We don't propose a theme change, a new CMS or a replatforming to introduce WebMCP. Tools are written and integrated into your site's existing code, whether it runs on WordPress, Laravel, Shopify or an in-house built platform. This approach reduces the project's risk and cost, but it also means the technical solution differs from one platform to another: how a tool is registered on WordPress is not the same as how it's done on Laravel or on Shopify.
Dedicated pages for each platform
Because the implementation details depend on the platform your site runs on, we've written separate pages for each common case: WebMCP implementation on WordPress, WebMCP implementation on Laravel and WebMCP implementation on Shopify. If you already know which platform your site runs on, we recommend checking the corresponding page for specific details on where the code is written and what limitations exist. If your platform isn't listed here, this page describes the base service, applicable to any platform.
Why every implementation ends with a run in real Chrome
A WebMCP tool's code may look correct on a simple read and still not work, because the tool's registration depends on the actual execution of JavaScript in the browser, on the moment the script loads, and on the modelContext API's behavior at that specific moment. For this reason, we don't consider an implementation finished just because the files were published. Every project ends with an actual run in Chrome, the browser that currently supports WebMCP through origin trial, where we check whether the tool truly appears in the list of available tools and whether it responds correctly to test calls. This verification cannot be replaced by reading the source code, no matter how carefully.
What we check in the final report
The verification report you receive at the end documents, point by point, what we tested and what we observed, without vague statements about "general functioning". Among the elements checked are:
- The tool's presence in the list of tools reported by the browser, not just in the source code.
- The tool's behavior when called with valid parameters and with missing or incorrect parameters.
- The validity of the discovery manifest and its accessibility to an external agent.
- The correct configuration of the origin trial token for the verified domain.
We can't guarantee how a specific AI agent will choose to use a tool, since that decision depends on the model used and on the conversation's context. What we can verify and document is whether the tool exists, whether it's discoverable and whether it responds correctly when called.
What comes after implementation
WebMCP is still a young standard, and browser and agent behavior may change over time. For this reason, some clients opt for periodic verification after the initial implementation, available through our WebMCP maintenance and monitoring service. This isn't mandatory, but it can be useful, especially if your site undergoes frequent changes that could affect already published tools. If you'd like to discuss the flows suited to your site and the steps of an implementation, feel free to contact us with a no-obligation quote request.