How to integrate Webflow MCP with LangChain

This guide walks you through connecting Webflow to LangChain 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 LangChain 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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Introduction

This guide walks you through connecting Webflow to LangChain 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 LangChain 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

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Webflow project to Composio
  • Create a Tool Router MCP session for Webflow
  • Initialize an MCP client and retrieve Webflow tools
  • Build a LangChain agent that can interact with Webflow
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Webflow functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Webflow tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['webflow']
    }
);

const url = session.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
  • This approach allows the agent to dynamically load and use Webflow tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "webflow-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Webflow MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Webflow tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['webflow']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "webflow-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Webflow related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Webflow through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
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.

FRAMEWORKS

How to build Webflow MCP Agent with another framework

ChatGPT logo

ChatGPT

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OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

Use Webflow MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Webflow MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Webflow MCP with Claude Cowork

Codex logo

Codex

Use Webflow MCP with Codex

Cursor logo

Cursor

Use Webflow MCP with Cursor

OpenClaw logo

OpenClaw

Use Webflow MCP with OpenClaw

Hermes logo

Hermes

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CLI logo

CLI

Use Webflow MCP with CLI

Google ADK logo

Google ADK

Use Webflow MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Webflow MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Webflow MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Webflow MCP with LlamaIndex

CrewAI logo

CrewAI

Use Webflow MCP with CrewAI

OpenCode logo

OpenCode

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VS Code logo

VS Code

Use Webflow MCP with VS Code

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. LangChain 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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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies