How to integrate Webflow MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Webflow to the OpenAI Agents SDK 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 OpenAI Agents SDK 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:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Webflow
  • Configure an AI agent that can use Webflow as a tool
  • Run a live chat session where you can ask the agent to perform Webflow operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Webflow project
  • Some knowledge of Python or Typescript

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

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Webflow.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Webflow Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["webflow"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only webflow.
  • The router checks the user's Webflow connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Webflow.
  • This approach keeps things lightweight and lets the agent request Webflow tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Webflow. "
        "Help users perform Webflow operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Webflow and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Webflow operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Webflow.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Webflow and OpenAI Agents SDK:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["webflow"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Webflow. "
        "Help users perform Webflow operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Webflow MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Webflow.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

How to build Webflow MCP Agent with another framework

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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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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