How to Use the Webflow MCP in OpenAI Agents SDK
Automate Webflow Management with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Webflow MCP to OpenAI Agents SDK
Create your Vinkius account to connect Webflow to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage Site Assets via MCP Server
You can list all uploaded site assets using the `list_site_assets` tool. This gives your agent a full inventory of media files, like images and videos, associated with any Webflow project. The agent also reads details for registered users by calling `list_site_users`. You get a clear view of who's signed up to use the site, which is crucial when building secure production workflows.
Monitor E-commerce Orders with OpenAI Agents SDK
The agent tracks sales activity by running `list_ecommerce_orders`. It pulls a list of all recent customer purchases and associated order details. This lets your system immediately act on financial data. Need to know which CMS collections exist? Use `list_cms_collections` first, then run `list_collection_items` to get the actual content for any specific category.
Get Full Webflow Site Details
Use `get_site_details` when you need a deep dive into one specific site. It pulls core metadata about that Webflow instance, letting your agent verify its current status. If the goal is to know what sites exist overall, start with `list_sites`. This function provides a master list of every Webflow project connected through this MCP Server.
Set up Webflow MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Webflow tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Webflow tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Webflow tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Webflow Agent",
instructions="You have access to Webflow tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Webflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Webflow MCP in OpenAI Agents SDK
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