How to Use the Umbraco MCP in OpenAI Agents SDK
Build Production Umbraco Pipelines with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Umbraco MCP to OpenAI Agents SDK
Create your Vinkius account to connect Umbraco 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 Content via MCP Server
The agent can create brand new pages and documents using `create_cms_document`. You just feed it the JSON structure, and it handles the rest of the Umbraco CMS write-up. This means you don't have to manually jump back into the backoffice.
Search & Filter Umbraco Content
Need a specific article or asset? Use `get_delivery_content_by_path` if you know the URL, or use `query_delivery_content` to filter results by content type. This is perfect for building complex data pipelines that need structured input. Listing available items is simple too; `list_delivery_content` gives you paginated access so your agent doesn't hit limits when scraping hundreds of records.
Update & Read Umbraco Assets
Updating content isn't a one-and-done deal. You can adjust existing fields using `update_cms_document`. It keeps your agent in control, ensuring changes are precise. Plus, you get full visibility into the site structure by calling `list_document_types` or getting media files with `list_media_assets`. Everything is accessible right through this MCP Server.
Set up Umbraco 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 Umbraco tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Umbraco tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Umbraco 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="Umbraco Agent",
instructions="You have access to Umbraco 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 Umbraco. 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 Umbraco MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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