How to integrate Webflow MCP with Pydantic AI

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Introduction

This guide walks you through connecting Webflow to Pydantic AI using the Composio tool router. By the end, you'll have a working Webflow agent that can add a new blog post to your site, list all products in your store collection, get details for order #12345 through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Webflow account through Composio's Webflow MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Webflow with

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Webflow
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Webflow workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Webflow MCP server, and what's possible with it?

The Webflow MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Webflow account. It provides structured and secure access to your Webflow sites, collections, and e-commerce data, so your agent can perform actions like managing content, updating inventory, handling orders, and retrieving detailed site information on your behalf.

  • Effortless content management: Ask your agent to create, update, or delete collection items—perfect for adding new blog posts, products, or dynamic content without manual entry.
  • Comprehensive site and collection insights: Retrieve up-to-date details about your Webflow sites and collections, including schema, settings, and structure, to power content-aware automations.
  • Inventory and order automation: Have your agent check inventory levels, update stock, and mark orders as fulfilled, streamlining your Webflow e-commerce operations.
  • Bulk data handling: Let your agent list all items in a collection or all collections on a site, enabling smart reporting, audits, or content migrations with a simple prompt.
  • Seamless integration with creative workflows: Enable real-time, AI-driven updates to your site content, inventory, or orders in response to team or customer needs—no coding required.

Supported Tools & Triggers

Tools
Create Asset FolderTool to create a new Asset Folder within a Webflow site.
Bulk Create Collection ItemsTool to create one or multiple items in a Webflow CMS Collection across multiple locales.
Create Webflow CollectionTool to create a new collection in a Webflow site.
Create Collection FieldTool to create a custom field in a Webflow collection.
Create Webflow Collection ItemThis tool creates a new item in a specified Webflow collection.
Create Live Webflow Collection ItemTool to create a collection item that will be immediately published to the live site.
Delete Webflow AssetTool to delete an Asset from Webflow.
Delete Webflow CollectionTool to delete a collection from Webflow using its unique identifier.
Delete Collection FieldTool to delete a custom field from a Webflow collection.
Delete Webflow Collection ItemThis tool allows you to delete a specific item from a collection in Webflow.
Delete Multiple Collection ItemsTool to delete multiple items from a Webflow collection in a single request.
Delete Webflow WebhookTool to remove a Webhook from Webflow.
Fulfill OrderThis tool allows you to mark an order as fulfilled in Webflow's e-commerce system.
Get Asset DetailsRetrieves detailed information about a specific asset by its ID from a Webflow site.
Get Asset Folder DetailsTool to retrieve details about a specific Asset Folder in Webflow.
Get Collection DetailsRetrieves a specific collection by its ID from a Webflow site.
Get Collection ItemThis tool retrieves a specific item from a Webflow collection.
Get Component PropertiesTool to get the default property values of a component definition.
Get Custom DomainsTool to retrieve all custom domains associated with a specific Webflow site.
Get Item InventoryThis tool retrieves the current inventory levels for a specific SKU item in a Webflow e-commerce site.
Get Live Collection ItemRetrieves details of a selected Collection live Item from Webflow.
Get Order DetailsThis tool retrieves detailed information about a specific order in Webflow.
Get Page MetadataTool to retrieve metadata for a single Webflow page by page_id.
Get Page DOM ContentTool to retrieve the DOM/content node structure for a Webflow static page.
Get Webflow Site InformationThis tool retrieves detailed information about a specific Webflow site.
Get Token Authorized ByTool to retrieve information about the user who authorized the access token.
List Asset FoldersTool to list all asset folders within a given Webflow site.
List Webflow AssetsTool to retrieve all assets (images, files) uploaded to a Webflow site.
List Collection ItemsThis tool retrieves a list of items from a specified collection in Webflow.
List Webflow CollectionsThis tool retrieves a list of all collections for a given Webflow site.
List Comment ThreadsTool to list all comment threads for a Webflow site.
List Form SubmissionsThis tool retrieves a list of form submissions for a specific Webflow site.
List Webflow OrdersThis tool retrieves a list of all orders for a specified Webflow site using the GET /sites/{site_id}/orders endpoint.
List PagesThis tool retrieves a list of all pages for a specified Webflow site.
List Webflow SitesThis tool retrieves a list of all Webflow sites accessible to the authenticated user.
List Webflow WebhooksTool to list all App-created Webhooks registered for a given site.
Publish Collection ItemsTool to publish one or multiple staged collection items in Webflow.
Publish Webflow SiteThis tool publishes a Webflow site, making all staged changes live.
Refund OrderThis tool allows you to refund a Webflow e-commerce order.
Unfulfill OrderThis tool allows you to mark a previously fulfilled order as unfulfilled in Webflow.
Unpublish Live Collection ItemTool to unpublish a live item from the Webflow site and set the isDraft property to true.
Unpublish Live Collection ItemsTool to unpublish up to 100 items from the live site and set isDraft property to true.
Update Collection FieldTool to update a custom field in a Webflow collection.
Update Collection Item (V2 Single)Tool to update a selected Item in a Webflow Collection using the single-item PATCH endpoint.
Update Item InventoryThis tool allows you to update the inventory levels of a specific SKU item in your Webflow e-commerce site by either setting the inventory quantity directly or updating it incrementally.
Update Live Webflow Collection ItemTool to update a selected live Item in a Webflow Collection.
Update Live Collection ItemsTool to update single or multiple published items (up to 100) in a Webflow Collection.
Update OrderThis tool allows updating specific fields of an existing order in Webflow.
Update Page MetadataTool to update page-level metadata in Webflow including SEO and Open Graph fields.
Update Webflow SiteTool to update a Webflow site's properties such as name and parent folder.
Upload Asset to WebflowThis tool allows users to upload assets (files, images, etc.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Webflow
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Webflow
  • MCPServerStreamableHTTP connects to the Webflow MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Webflow
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["webflow"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Webflow tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
webflow_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[webflow_mcp],
    instructions=(
        "You are a Webflow assistant. Use Webflow tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Webflow endpoint
  • The agent uses GPT-5 to interpret user commands and perform Webflow operations
  • The instructions field defines the agent's role and behavior

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Webflow.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Webflow API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Webflow and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Webflow
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["webflow"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    webflow_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[webflow_mcp],
        instructions=(
            "You are a Webflow assistant. Use Webflow tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Webflow.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Webflow through Composio's Tool Router. With this setup, your agent can perform real Webflow actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Webflow for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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FAQ

What are the differences in Tool Router MCP and Webflow MCP?

With a standalone Webflow MCP server, the agents and LLMs can only access a fixed set of Webflow tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Webflow and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Webflow tools.

Can I manage the permissions and scopes for Webflow while using Tool Router?

Yes, absolutely. You can configure which Webflow scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Webflow data and credentials are handled as safely as possible.

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