How do I get my Webflow API token?

Log in to your Webflow Dashboard. Open the site you want to connect and click the **gear icon** to access Site Settings. In the left sidebar, click **Apps & integrations**. Scroll to the **API access** section at the bottom and click **Generate API token**. Name your token, select the required permission scopes (e.g., CMS read/write, Sites publish), and click **Generate token**. Copy it immediately — Webflow will not show the full token again. Each site can have up to 5 tokens. Tokens expire aft

Can my AI agent publish a blog post to my Webflow site?

Yes. Your AI agent can create CMS collection items (like blog posts), set all fields including title, body, slug, thumbnail, and publish date, then trigger a site publish — all in one conversation. Perfect for content teams who want to skip the Webflow designer and go from draft to live in seconds.

What if I manage multiple client sites as an agency?

Each Webflow site has its own API token, so you can configure multiple integrations — one per client site. This lets your AI agent switch between projects, bulk-update CMS content across sites, or publish changes to specific client domains without mixing data between accounts.

Can I track e-commerce orders through my AI agent?

Yes. If you use Webflow's built-in e-commerce, your AI agent can retrieve orders, order details, fulfillment statuses, and product inventory — giving you a real-time view of sales activity without opening the Webflow dashboard or exporting reports.

Webflow MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Webflow
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Webflow as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Webflow. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Webflow?"
    )
    print(response)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Webflow MCP Server

Connect Webflow to your AI agent and manage your websites, CMS content, and e-commerce data conversationally.

LlamaIndex agents combine Webflow tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

CMS Management — List, create, update, and delete CMS collection items (blog posts, portfolio entries, product listings) from natural language.
Site Publishing — Trigger site publishes and check publish status across staging and production domains.
Collection Schema — Query collection structures, field types, and validation rules to understand your content model.
E-commerce Data — Retrieve orders, products, and inventory data from Webflow's built-in e-commerce engine.

The Webflow MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Webflow to LlamaIndex via MCP

Follow these steps to integrate the Webflow MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Webflow

Why Use LlamaIndex with the Webflow MCP Server

LlamaIndex provides unique advantages when paired with Webflow through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Webflow tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Webflow tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Webflow, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Webflow tools were called, what data was returned, and how it influenced the final answer

Webflow + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Webflow MCP Server delivers measurable value.

Hybrid search: combine Webflow real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Webflow to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Webflow for fresh data

Analytical workflows: chain Webflow queries with LlamaIndex's data connectors to build multi-source analytical reports

Webflow MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Webflow to LlamaIndex via MCP:

create_collection_item

Create a CMS item

get_site

Get site details

get_user

Get authorized user info

list_collection_items

List items in a collection

list_collections

List CMS collections

list_domains

List site domains

list_pages

List all site pages

list_sites

List all Webflow sites

publish_site

Publish site to production

update_collection_item

Update a CMS item

Example Prompts for Webflow in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Webflow immediately.

"List all blog posts in my Webflow CMS."

"Publish my Webflow site to production."

"Create a new blog post titled 'How AI Transforms Marketing'."

Troubleshooting Webflow MCP Server with LlamaIndex

Common issues when connecting Webflow to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Webflow + LlamaIndex FAQ

Common questions about integrating Webflow MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Webflow tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.