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How to Use the Domo MCP in OpenAI Agents SDK

Provision Domo users and manage group access directly through your OpenAI Agents SDK pipelines with zero-config tool discovery.

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OpenAI Agents SDK

Connect Domo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Domo 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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Automatic Domo user provisioning via OpenAI Agents SDK

Stop writing custom API wrappers to onboard new team members into Domo using OpenAI Agents SDK. This MCP Server lets your OpenAI agents call `create_user` to instantly spin up accounts and optionally fire off invite emails when new hires join. Your OpenAI agent handles the entire Domo user seat lifecycle without human intervention. If an employee leaves or changes departments, your agent executes `delete_user` or `update_user` based on your HR system triggers, keeping your active Domo seat count accurate.

Dynamic access control with group tools

Managing permissions at scale in Domo requires grouping. Your OpenAI agent uses `create_group` to spin up team-specific containers the moment a new project folder is created in your workspace. Once the Domo group exists, the OpenAI agent automatically runs `add_user_to_group` to populate it with the right team members. If someone shifts projects, the agent cleans up Domo permissions by calling `remove_user_from_group` to keep your data secure.

Safe MCP Server execution with built-in guardrails

Running user management operations in production Domo environments requires strict boundaries. The OpenAI Agents SDK intercepts calls to `delete_user` or `remove_user_from_group` to run them through your validation checks before hitting the live Domo API. This setup ensures your OpenAI agent never accidentally wipes out a Domo admin account or leaves a critical group empty. You get full tracing in your OpenAI dashboard for every single Domo membership change.

Setup guide

Set up Domo 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 Domo tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Domo 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 Domo 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="Domo Agent",
            instructions="You have access to Domo 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 Domo. 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

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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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 Domo MCP in OpenAI Agents SDK

Install the OpenAI Agents SDK with pip and instantiate the Domo server using the streamable HTTP class. Pass the server instance directly to your OpenAI agent constructor, and the model will auto-discover tools like `create_user` to manage Domo profiles instantly.
Yes, but your OpenAI Agents SDK setup should run sequential calls with small delays. While your OpenAI agent can loop through Domo `create_user` commands, Domo rate limits apply, so let the agent handle small batches to avoid HTTP 429 errors.
You define guardrails directly in your OpenAI Agents SDK Python code before passing the Domo toolset. The OpenAI agent cannot bypass these checks, meaning any destructive action like deleting a Domo profile via `delete_user` is blocked unless it meets your specific criteria.
No, the Domo MCP server handles schema mapping out of the box for OpenAI Agents SDK. Your OpenAI agent reads the parameters for `add_user_to_group` and understands exactly what string format to send to Domo without manual JSON schema writing.
Your Domo user emails, profile names, and group IDs only pass through the secure Vinkius sandbox during OpenAI Agents SDK tool execution. We never write this Domo data to persistent storage, ensuring absolute compliance with your organizational privacy policies.

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