Model Context Protocol (MCP): revolutionizing Webflow with AI

Model Context Protocol (MCP): revolutionizing Webflow with AI

For the past three weeks, I have been experimenting with the Anthropic Model Context Protocol on my Webflow projects. This technology is completely changing the way I work. Here's why it's going to transform your workflow and what you need to know to adopt it now.

What is Model Context Protocol (MCP)?

The Model Context Protocol, developed by Anthropic and announced in November 2024, is an open protocol that standardizes how AI assistants access external data. Imagine being able to connect Claude directly to your Webflow projects, databases, or productivity tools without writing a single line of integration code.

Unlike traditional APIs that require specific developments for each data source, MCP functions as a “USB-C port for AI.” A single standardized protocol to connect any application to any language model.

Last week, using MCP with a customer, I was able to analyze their data directly Webflow CMS, generate optimized content and publish it automatically. What took 2 hours manually was done in 15 minutes.

How does MCP work? Architecture and components

MCP is based on a simple but powerful client-server architecture. On the one hand, you have the MCP customers (like Claude Desktop, Cursor, or other AI tools) that consume data. On the other hand, the MCP servers that expose your data sources according to the standardized protocol.

The three essential components

MCP servers are lightweight programs that provide access to your data. Webflow already offers its official server that connects to the Webflow Data API. Google Drive, Slack, or GitHub also have their MCP servers pre-built.

MCP customers are the applications that use this data. Claude Desktop integrates MCP natively, just like Cursor, Replit or Sourcegraph. These tools instantly become smarter because they access the real context of your projects.

The MCP protocol itself manages the secure communication between clients and servers. It supports various transports: stdio for local connections, WebSockets for real time, or HTTP with Server-Sent Events for remote deployments.

MCP and Webflow: a revolutionary native integration

Webflow was one of the first platforms to launch an official MCP server. This integration is radically transforming the way we can work with our Webflow sites.

MCP Webflow server configuration

After testing the various approaches available, the API token method proved to be more reliable than automatic OAuth. This is the process that I now use on all my projects.

First step on the Webflow side: generate your API token. Log in to your Webflow account, then go to your workspace settings. In the “Integrations” section, click on “API access” then “Generate API token”. Give your token an explicit name (for example “MCP Claude Integration”) and select the required permissions. For full use with MCP, I recommend enabling at least: sites:read, sites:read, cms:read, cms:write. Copy this token immediately because Webflow will no longer show it after validation.

Then, in Claude Desktop, access the settings via the Claude system menu (not the account settings in the app). Click “Settings” > “Developer” > “Edit Config” to open the configuration file.

Add this configuration by replacing YOUR_WEBFLOW_TOKEN with your API token:

{
 “mcpServers”: {
 “webflow”: {
 “command”: “npx”,
 “args”: [” -y”, “webflow-mcp-server @latest “],
 “env”: {
 “WEBFLOW_TOKEN”: “YOUR_WEBFLOW_TOKEN”
 }
 }
 }
}

Save the file and restart Claude Desktop with Cmd+R (Mac) or Ctrl+R (Windows). This method avoids OAuth authorization issues and gives more granular control over permissions.

To verify that the connection is working, the MCP icon should appear in Claude's lower left corner. Test with “Can you list my Webflow sites for me?” - Claude should display your sites without asking for additional authorization since the token is already configured.

A security tip that I apply: create a dedicated token for MCP with only the necessary permissions, and renew it regularly. Avoid using your main development token.

Features available via MCP Webflow

Webflow's MCP server has an impressive range of features. You can list and manage your sites, access CMS collections, modify page content, manage custom scripts, and even interact with components.

Even more interesting, the server includes an “ask-webflow-ai” tool that allows Claude to search Webflow documentation to solve technical problems specific to your project.

Concrete use cases that I tested

After three weeks of intensive experimentation, here are the workflows that transformed my productivity.

Intelligent content generation

My favorite use case: connect Claude to a Webflow CMS “Blog Articles” collection, analyze existing articles to understand the tone and structure, then generate new, coherent articles. Claude automatically understands the fields in your collection, respects your taxonomy, and can even optimize SEO by analyzing your effective content.

Concretely, on a client project in the real estate sector, I was able to generate 50 coherent product sheets by analyzing the first 10 manual entries. Claude identified the patterns, respected the data structure, and produced quality content in 30 minutes.

Automated audit and optimization

MCP allows you to audit your Webflow sites intelligently. Claude can analyze the structure of your pages, identify accessibility problems, suggest SEO improvements, or detect inconsistencies in your design system.

Last week, I used this approach to audit a 200-page e-commerce site. Claude identified 15 critical accessibility issues and proposed corrections specific to each page, with the corresponding CSS code.

Automating recurring workflows

Repetitive tasks become obsolete with MCP. Publishing multi-language content, synchronizing data between collections, or updating components in bulk: Claude understands the context of your site and executes these actions intelligently.

MCP beyond Webflow: an expanding ecosystem

Cross-platform integrations

The MCP ecosystem is growing rapidly. Google Drive, Slack, GitHub, Postgres, Airtable: over 100 MCP servers are already available. You can connect Claude to your complete stack and create complex workflows that cross multiple applications.

Zapier even offers an MCP server that gives access to its 8000+ integrations. Imagine Claude connected simultaneously to Webflow, your CRM, and your analytics tools to completely automate your marketing processes.

Development of custom MCP servers

For specific needs, developing a custom MCP server is remarkably simple. Anthropic provides Python, TypeScript, and C# SDKs. A basic server is coded in less than 100 lines.

MCP security and best practices

MCP integrates security by design. Servers run in isolated environments, permissions are granular, and all communication is encrypted. For Webflow, OAuth authentication ensures that Claude only accesses authorized sites.

However, like any powerful technology, MCP requires vigilance. Limit permissions to what is strictly necessary, audit accesses regularly, and keep your API tokens secure. I recommend creating dedicated Webflow accounts with restricted permissions for MCP integrations.

The future of MCP: towards generalized contextual AI

MCP represents a paradigm shift. We are moving from general-purpose AI to contextual AI that understands your data, your business, and your specific processes.

Anthropic is already working on advanced features: automatic server discovery, centralized MCP registry, and unified authentication. The aim is to create an ecosystem where your AI fully understands your work environment.

For us, Webflow developers, this means increased productivity. No need to juggle between 10 different tools: Claude becomes our unique interface to our entire technical stack.

Get started with MCP today

To start your MCP journey, I recommend this gradual approach. First install Claude Desktop and set up the official MCP Webflow server. Test basic functionalities: reading collections, analyzing content, optimizing suggestions.

Then explore other servers: Google Drive for your assets, GitHub for your custom code repositories, or Slack for integration with your teams. The idea is to gradually connect your entire workflow.
Finally, identify your most repetitive tasks and see how MCP can automate them. This is where the real value comes in: recovering time on operational tasks to focus on strategy and creativity.

MCP is fundamentally transforming the way we work with Webflow and AI. This technology is no longer experimental: it is ready for production and is already changing the rules of the game.

If you're developing on Webflow, MCP should be at the top of your 2025 priority list. Contact me if you want to explore these possibilities for your projects or find out how to integrate MCP into your workflow.

Ready to revolutionize your Webflow workflow? Let's discuss your project and let's see how MCP can transform your approach to web development.