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How to Use the Duda MCP in OpenAI Agents SDK

Build production-grade OpenAI Agents SDK systems that query, audit, and manage your Duda sites with built-in guardrails.

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OpenAI Agents SDK

Connect Duda MCP to OpenAI Agents SDK

Create your Vinkius account to connect Duda 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.

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Automate Duda site audits via OpenAI Agents SDK

Your OpenAI Agents SDK python agent runs `quick_site_health_audit` to find inactive Duda sites. This prevents your OpenAI agent from querying stale Duda pages. When the OpenAI agent identifies a problem, it uses `get_site_details` to pull Duda configuration logs. The OpenAI tracing dashboard records this MCP Server action for strict debugging.

Manage Duda client accounts with safe OpenAI handoffs

The OpenAI Agents SDK routes complex Duda client requests to a specialized account agent. This specialized OpenAI agent runs `list_client_accounts` to find matching Duda profiles. OpenAI guardrails prevent the agent from changing Duda permissions via `get_client_account_profile` without authorization. This ensures your OpenAI workflows never corrupt Duda user databases.

Dynamic Duda template matching with OpenAI

This MCP Server lets your OpenAI agent inspect Duda layout structures instantly. Your OpenAI python code feeds `list_site_templates` output directly into the agent's context. When a customer requests a design, the OpenAI agent evaluates Duda layouts via `get_template_details`. This allows the OpenAI agent to select the correct Duda design.

Setup guide

Set up Duda MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Duda tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Duda tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Duda tools and returns structured results. Copy the full example on the right to get started.

agent.py
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="Duda Agent",
            instructions="You have access to Duda tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Duda MCP in OpenAI Agents SDK

You register the Duda server using `MCPServerStreamableHttp` within your OpenAI python script. The OpenAI Agents SDK then auto-discovers Duda tools like `list_duda_sites` immediately.
Yes, your OpenAI agent calls the Duda `search_sites_by_domain` tool to locate specific layouts. This keeps your OpenAI agent focused on the correct Duda domain.
The OpenAI agent runs `list_site_collections` to extract Duda dynamic database schemas. These Duda schemas are then mapped directly to the OpenAI agent's memory.
The OpenAI agent executes the `list_published_websites` tool to identify active Duda URLs. This filters out draft Duda sites from the OpenAI monitoring loop.
All Duda client account profiles are processed in memory inside an ephemeral V8 sandbox before reaching OpenAI. No Duda credentials or profile data are ever stored on Vinkius servers.

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