How to Use the Hullo MCP in OpenAI Agents SDK

Bring Hullo into your OpenAI Agents SDK production pipeline to manage member check-ins and community interactions with strict guardrails.

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Connect Hullo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Hullo 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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Setup Hullo with OpenAI Agents SDK

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Automate member onboarding and tracking

Use `create_member` to push new sign-ups directly into your database. Your agent handles the data entry while ensuring every record meets your schema requirements before it hits the backend. Running `get_member` or `list_members` lets your agent pull details in real-time. You'll see exactly who is in the space without switching tabs.

Drive community engagement with your agent

Trigger `send_message` to reach out to members instantly through your agent. It’s perfect for broadcasting space updates or following up on check-ins. Your agent monitors active threads using `get_conversation` and `list_conversations`. This keeps the pulse of the office visible to the agent at all times.

Built-in safety for your MCP server

The OpenAI Agents SDK wraps this MCP server in execution guardrails. Every action taken by the agent is traced and validated before it hits your production database. This setup prevents unauthorized operations. You keep full control over what the agent can and cannot do within your coworking management system.

Setup guide

Set up Hullo 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

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

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 Hullo tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Hullo tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Hullo 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="Hullo Agent",
            instructions="You have access to Hullo tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Why Choose Vinkius

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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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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hullo MCP in OpenAI Agents SDK

Yes. It connects as a toolset and provides immediate access to member data. Your agent queries the server whenever a status update is needed.

Absolutely. You can define specific triggers for the agent to use `send_message`. It executes the call once the logic is satisfied.

You use the built-in tracing and validation features. Every tool call is logged in your dashboard for review.

Keep it simple. Just point the HTTP transport to your endpoint and the agent handles the rest.

It accesses member names, IDs, and conversation logs. All traffic is ephemeral and managed via your secure endpoint token.

Use it with your favorite AI tools

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