How to integrate Webflow MCP with Autogen

This guide walks you through connecting Webflow to AutoGen 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 AutoGen 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.

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Webflow is a no-code website design and hosting platform for building responsive sites and online stores. It empowers users to launch, update, and manage web content with zero coding required.

51 Tools

Introduction

This guide walks you through connecting Webflow to AutoGen 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 AutoGen 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.

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Webflow
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Webflow tools
  • Run a live chat loop where you ask the agent to perform Webflow operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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.

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

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Webflow account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

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.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Webflow via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Webflow connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Webflow session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["webflow"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Webflow tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Webflow assistant agent with MCP tools
    agent = AssistantAgent(
        name="webflow_assistant",
        description="An AI assistant that helps with Webflow operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Webflow tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Webflow related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Webflow tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Webflow session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["webflow"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Webflow assistant agent with MCP tools
        agent = AssistantAgent(
            name="webflow_assistant",
            description="An AI assistant that helps with Webflow operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Webflow related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into Webflow through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Webflow, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Webflow action and event your agent gets out of the box.

Create Asset Folder

Tool to create a new Asset Folder within a Webflow site.

Bulk Create Collection Items

Tool to create one or multiple items in a Webflow CMS Collection across multiple locales.

Create Webflow Collection

Tool to create a new collection in a Webflow site.

Create Collection Field

Tool to create a custom field in a Webflow collection.

Create Webflow Collection Item

This tool creates a new item in a specified Webflow collection.

Create Live Webflow Collection Item

Tool to create a collection item that will be immediately published to the live site.

Delete Webflow Asset

Tool to delete an Asset from Webflow.

Delete Webflow Collection

Tool to delete a collection from Webflow using its unique identifier.

Delete Collection Field

Tool to delete a custom field from a Webflow collection.

Delete Webflow Collection Item

This tool allows you to delete a specific item from a collection in Webflow.

Delete Multiple Collection Items

Tool to delete multiple items from a Webflow collection in a single request.

Delete Webflow Webhook

Tool to remove a Webhook from Webflow.

Fulfill Order

This tool allows you to mark an order as fulfilled in Webflow's e-commerce system.

Get Asset Details

Retrieves detailed information about a specific asset by its ID from a Webflow site.

Get Asset Folder Details

Tool to retrieve details about a specific Asset Folder in Webflow.

Get Collection Details

Retrieves a specific collection by its ID from a Webflow site.

Get Collection Item

This tool retrieves a specific item from a Webflow collection.

Get Component Properties

Tool to get the default property values of a component definition.

Get Custom Domains

Tool to retrieve all custom domains associated with a specific Webflow site.

Get Item Inventory

This tool retrieves the current inventory levels for a specific SKU item in a Webflow e-commerce site.

Get Live Collection Item

Retrieves details of a selected Collection live Item from Webflow.

Get Order Details

This tool retrieves detailed information about a specific order in Webflow.

Get Page Metadata

Tool to retrieve metadata for a single Webflow page by page_id.

Get Page DOM Content

Tool to retrieve the DOM/content node structure for a Webflow static page.

Get Webflow Site Information

This tool retrieves detailed information about a specific Webflow site.

Get Token Authorized By

Tool to retrieve information about the user who authorized the access token.

List Asset Folders

Tool to list all asset folders within a given Webflow site.

List Webflow Assets

Tool to retrieve all assets (images, files) uploaded to a Webflow site.

List Collection Items

This tool retrieves a list of items from a specified collection in Webflow.

List Webflow Collections

This tool retrieves a list of all collections for a given Webflow site.

List Comment Threads

Tool to list all comment threads for a Webflow site.

List Form Submissions

This tool retrieves a list of form submissions for a specific Webflow site.

List Webflow Orders

This tool retrieves a list of all orders for a specified Webflow site using the GET /sites/{site_id}/orders endpoint.

List Pages

This tool retrieves a list of all pages for a specified Webflow site.

List Webflow Sites

This tool retrieves a list of all Webflow sites accessible to the authenticated user.

List Webflow Webhooks

Tool to list all App-created Webhooks registered for a given site.

Publish Collection Items

Tool to publish one or multiple staged collection items in Webflow.

Publish Webflow Site

This tool publishes a Webflow site, making all staged changes live.

Refund Order

This tool allows you to refund a Webflow e-commerce order.

Unfulfill Order

This tool allows you to mark a previously fulfilled order as unfulfilled in Webflow.

Unpublish Live Collection Item

Tool to unpublish a live item from the Webflow site and set the isDraft property to true.

Unpublish Live Collection Items

Tool to unpublish up to 100 items from the live site and set isDraft property to true.

Update Collection Field

Tool 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 Inventory

This 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 Item

Tool to update a selected live Item in a Webflow Collection.

Update Live Collection Items

Tool to update single or multiple published items (up to 100) in a Webflow Collection.

Update Order

This tool allows updating specific fields of an existing order in Webflow.

Update Page Metadata

Tool to update page-level metadata in Webflow including SEO and Open Graph fields.

Update Webflow Site

Tool to update a Webflow site's properties such as name and parent folder.

Upload Asset to Webflow

This tool allows users to upload assets (files, images, etc.

FAQ

Frequently asked questions

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.

Yes, you can. Autogen 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.

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.

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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