Webflow has launched MCP 2.0, adding governance and brand controls to its Model Context Protocol server for AI-powered website management. Over 30% of the company's enterprise customers use Webflow's MCP, with usage growing fourfold since January 2026. MCP 2.0 enables marketing teams to build and manage production websites through AI agents from Claude, ChatGPT, and Cursor via natural language. Nearly 90% of MCP users connect through Anthropic's Claude. The update introduces branching for isolated development, enforcement of account roles and permissions, and activity tracking with AI attribution. Teams can work within existing design systems and connect to CMS data whilst maintaining brand consistency. New features include analytics integration with Webflow Analyze and connection to tools like Amplitude, Slack, and Asana. Clients include Dropbox, Orangetheory Fitness, and Docusign.

Webflow MCP 2.0 brings governance to the agentic web. * 1 hr ago SAN FRANCISCO, July 21, 2026 (GLOBE NEWSWIRE) - Webflow, the agentic web marketing platform trusted by companies like Dropbox, Orangetheory Fitness, and Docusign, today launched the next generation of their Model Context Protocol server with MCP 2.0, giving marketing teams a faster, safer way to build and manage production websites with AI agents. Webflow's MCP server connects AI tools including Claude, Cursor, and ChatGPT directly to Webflow sites, enabling teams to design, build, and manage web experiences through natural conversation or fully automated agentic workflows. Over 30% of enterprise customers actively use Webflow's MCP, with usage growing more than four times since January 2026 - and nearly 90% of MCP users connecting through Anthropic's Claude. "Most agentic work happens in a sandbox, or in internal tools. When an agent edits your website, it's live the second it publishes to customers, competitors, and every model crawling the web," said Linda Tong, Webflow CEO. "When the stakes are this high, there is no room for guesswork. MCP 2.0 gives agents the brand rules and governance that production work demands. This is the line between agentic experiments and agentic infrastructure." MCP 2.0 expands what agents can do inside Webflow, giving teams more power, with more control, to work agentically on production websites. With Webflow MCP 2.0, teams can: * Scale output while staying on brand: Build within an existing design system, using brand-specific components, elements, and styles, and connect everything to CMS data so updates are reflected everywhere they appear. Pair that with reusable Agent Instructions that encode voice and tone guidelines, legal docs, and brand rules, so AI speed never comes at the cost of brand consistency or long-term maintainability. * Move fast, with guardrails: Build on branches in a secure, isolated environment before pushing updates to your live site. Enforce your account roles and permissions, including custom roles and granular access per site, CMS collection, page, and locale, and track every MCP action in your site activity log with AI attribution so you know exactly what changed, when, and who triggered it - whether human or AI. * Bring your agent of choice right into Webflow: Connect Webflow to popular platforms like Claude, ChatGPT, Cursor, Slack and more - with the control, governance, and infrastructure of Webflow behind every change. * Move from insight to action faster: Quickly surface analytics about traffic, top pages, and traffic sources from Webflow Analyze, and share that data directly with other tools in your stack like Amplitude, Slack, and Asana without ever leaving your workflow. Arkose Labs, the agent trust and control company, recently migrated its decade-old WordPress site to Webflow. They rebuilt it entirely with Claude Code via the Webflow MCP in days rather than months. The project was part of a company-wide push to put AI first in every workflow, technology choice, and vendor decision. Arkose's website, in place since the company's earliest days, was on the list. The goal was simple: a platform the team could engineer, build, and reposition agentically, fully in step with how Arkose now works. "Making Arkose AI-first means our team rethinks how we build, not just what we build, so I wanted to do this one hands-on alongside them," said Kevin Gosschalk, founder and CEO of Arkose Labs. "Rebuilding our entire site agentically with Claude Code and Webflow's MCP showed us what's now possible. We designed it for both human and agentic buyers, optimized every page for AEO and GEO, and went from idea to live in days with no dev cycle. The pages load fast, the code is cleaner, and the metrics Webflow gives us are genuinely actionable, showing in real time what's resonating with visitors." "Our workflows with Figma, Claude Code, and Webflow's MCP have been an absolute game changer," said Alex Mejias, Head of Global Design Technology and Interactive Experience, Amazon Ads Brand Innovation Lab. "I really see this as our future workflow - taking technologists out of some of that cycle and bringing in designers to leverage AI to fill that technical gap." About Webflow Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build and scale high-performing web experiences that drive predictable growth and strengthen brand trust. With a visual, composable CMS at its core, Webflow enables teams to design, ship, and optimize brand-forward web experiences with speed and control, without the complexity and fragility of stitched-together tools or the vendor lock-in of legacy digital experience platforms. Agent-ready workflows are embedded across the platform, allowing teams to safely apply AI to creation, automation, and optimization with the guardrails, auditability, and governance required at enterprise scale. Today, more than 300,000 companies and over 2,000 Certified Webflow Partners trust Webflow to power enterprise-grade web experiences around the world. Media Contact

AI virtual try-on for Shopify: how it works and what it costs. Considering AI virtual try-on for your Shopify store? How it works, what it really costs, the limits of free tools, and how Lamina handles on-brand try-ons for fashion and jewelry. Shreya Garg Product Analyst AI virtual try-on for Shopify lets shoppers see your products on realistic models directly from your store product pages and campaigns. Tools like Lamina generate virtual try-ons, product photos, and videos from a brief and brand kit, then sync them to Shopify through a direct integration, without prompt engineering. What is AI virtual try-on for Shopify, practically? AI virtual try-on for Shopify means using generative models to show your clothing, jewelry, or accessories on human models without a traditional photo shoot. Instead of booking models, photographers, and studios, you upload product images and a short brief. The AI then produces on-model visuals you can use on your product pages, in your theme, and in marketing assets. Lamina is writing this article, so Lamina will be direct about what Lamina do and don't do. Lamina generates on-brand virtual try-ons, product photos, short-form product videos, and campaign banners from a brief and a brand kit. You configure these in pre-made apps, then connect to Shopify to export assets into your catalog and workflows. How does Lamina's AI virtual try-on work for fashion and jewelry? Lamina's virtual try-on flows live inside pre-built apps. You describe the target look (for example, model type, scene, framing), attach your brand kit, and upload or reference your products. The system then generates on-model images where your products appear worn realistically, without you writing prompts. This supports fashion and jewelry brands that need consistent, shoppable visuals. For teams that sell apparel or accessories, Lamina covers more than static images. From the same brief and brand kit, it can create virtual try-ons, classic product photos, and creative formats like reels and banners. The focus is on keeping every output locked to your brand style so your product pages, ads, and on-site experiences remain visually consistent as you scale. How does Lamina plug into Shopify specifically? Lamina connects directly to Shopify through an integration designed for e-commerce workflows. You use Lamina to generate product photography, on-model try-ons, and videos, then sync or export these assets into your Shopify store. This reduces manual downloading, re-uploading, and renaming when you refresh catalogs or launch a new collection. If you want more detail on the integration itself, you can read the dedicated Shopify integration overview. Lamina also connects with tools like Webflow, Sanity, Slack, Google Drive, n8n, and developer environments through Claude/Cursor/Windsurf MCP, which helps if you maintain content across multiple storefronts or markets from one creative system. What does AI virtual try-on with Lamina actually cost? Lamina's pricing is credit-based. The Starter plan is $19/month and includes 1,000 credits. Creator is $59/month with 3,200 credits. Scale is $99/month with 5,500 credits and 2 workspaces. Extra team members are $15 per seat on compatible plans, and Enterprise pricing is customized. Credits are used across product photos, virtual try-ons, videos, and banners rather than split tools. Because Lamina is writing this, Lamina will not pretend to be the cheapest option in every scenario. Other tools list prices such as Flair.ai from $8/month, Photoroom plans between $12.99-$89.99/month, Botika from $33/month, Caspa.ai from $39/month, and Superside starting at a $15,000 monthly minimum plus a $1,000/month software fee. Those prices and inclusions differ by product scope and output types. Is there really such a thing as free AI virtual try-on? Searches like "ai clothing product photography free", "ai model try on clothes free", and "ai product photography free no sign up" usually lead to tools that either watermark outputs, throttle usage, or don't support full virtual try-on. You may get a few test generations, but not a realistic workflow for a live Shopify brand with weekly drops or seasonal campaigns. Lamina does not advertise itself as a free AI virtual try-on tool. The value is in combining product photography, virtual try-on, reels, and banners under one consistent brand kit with a Shopify integration. For purely free experiments, many merchants test general-purpose AI image apps first, then move to a paid system once they realize they need on-model consistency, brand control, and rights they can trust. How does Lamina compare to virtual try-on and creative tools? Lamina focuses on brand-locked outputs driven by a brief and brand kit, not open-ended prompt engineering. That is different from generic creative suites like Higgsfield that are built around prompts and references, and from single-use tools that only do background removal or basic product shots. Lamina's pre-made apps cover product photos, virtual try-on, reels, ad variants, and campaign banners. Some tools like Botika specialize in fashion on-model photos with plans from $33/month and "over 240 photos per year". Others like Caspa.ai start at $39/month for images only, with no video. Superside positions itself as a high-touch creative subscription with a $15,000 monthly minimum plus software fees. Lamina's Starter at $19/month is aimed at Shopify-scale teams that need breadth without agency retainers. What kinds of assets can Lamina generate beyond try-ons? Virtual try-on is one part of Lamina. The same environment also supports AI product photography, short-form videos, and campaign visuals. For example, you can use Lamina as an AI product photography system for e-commerce to standardize packshots and stylized scenes for your Shopify catalog and lookbooks. You can also generate on-brand vertical reels, ad variants, and banners from the same products and brand kit. Lamina has specific flows for brand-locked vertical reels, AI ad variants for paid social, and campaign banners at scale. The idea is one creative pipeline feeding product pages, ads, and campaigns. How should a Shopify brand choose virtual try-on software? If you run a Shopify store, start by deciding whether you need simple background cleanup, full on-model try-on, or a broader creative system. For jewelry and fashion, check if the tool can handle your specific product types and styling. Confirm what "credits" include: are video and campaign assets included, or only static images? Also check integration depth with Shopify and your other content tools. With Lamina, you are buying a credit-based system that covers on-brand virtual try-ons, product photos, reels, and banners driven from a brand kit and brief, plus a Shopify integration. The pricing is public at Lamina's pricing page, and the app catalog is listed at Lamina apps. If you need implementation or policy details, the documentation and FAQ are at https://uselamina.ai/faq. FAQ. Does Lamina support AI virtual try-on for jewelry on Shopify? Yes. Lamina can generate on-model virtual try-ons for jewelry and accessories from a brief and brand kit, then connect those assets to your Shopify store through its integration. You control styling and brand consistency and can generate additional product photos, reels, and banners from the same setup. How much does Lamina cost for AI product photography and virtual try-on? Lamina starts at $19/month for the Starter plan with 1,000 credits. Creator is $59/month with 3,200 credits. Scale is $99/month with 5,500 credits and 2 workspaces. Additional team members are $15 per seat on compatible plans, and Enterprise plans are customized based on volume and requirements. Is Lamina a free AI product photography or virtual try-on tool? No. Lamina is a paid platform. It does not position itself as a free AI product photography or virtual try-on tool. Instead, it offers credit-based plans that cover product photos, on-model try-ons, product reels, and campaign banners, with a focus on brand-locking and direct integrations like Shopify. Can Lamina replace an AI product photography agency or Fiverr gig? Lamina is software, not an agency or marketplace. It replaces many tasks you might outsource, such as creating on-brand product photos, virtual try-ons, and ad creatives. However, it does not include human art direction or manual retouching services like an agency or individual Fiverr designer might offer. Does Lamina require prompt engineering skills to use? No. Lamina is designed to work from a brief and a brand kit inside pre-made apps. You choose the app, set your parameters, and upload or link your products. The system produces on-brand product photos, virtual try-ons, reels, and banners without users needing to craft or optimize detailed AI prompts. Tags shopify virtual-try-on product-photography ecommerce lamina