How to Use the Ziflow MCP in OpenAI Agents SDK

Q: How do I search for content using Ziflow and the OpenAI Agents SDK?

You use the searchproofs tool to find specific content submissions. This function takes parameters like keywords or dates, giving your agent precise results immediately.

Q: What is required for webhook management with Ziflow and the OpenAI Agents SDK?

You manage webhooks using listwebhooks to view active endpoints. To set up a new trigger, you call createwebhook, ensuring your external systems are properly linked.

Q: Can I get metadata for proofs with Ziflow and the OpenAI Agents SDK?

Yeah, you can list proof metadata by calling listintegrationproperties. This gives a comprehensive view of all the technical details attached to any given piece of content.

Q: What happens if I need user listings with Ziflow and the OpenAI Agents SDK?

The agent uses listteamusers to retrieve a list of everyone in the system. It's a straightforward call that gives you all necessary usernames and roles for context.

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Connect Ziflow MCP to OpenAI Agents SDK

Create your Vinkius account to connect Ziflow 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 Ziflow with OpenAI Agents SDK

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Manage entire proof lifecycles

You can automate the core content review process. Use `create_proof` to start a new submission, and then use `search_proofs` or `get_proof` to pull up specific details later. This flow supports full decision making. Agents handle initial lookups using `list_team_users`, and when the content is ready, they execute `submit_decision` based on gathered evidence.

Automate user and resource tracking

Need to know who's involved? The system provides clear visibility into users via `list_team_users`. It also lets you check specific accounts using `get_account_info` or find a person by email with `get_contact_by_email`. These tools help build out the necessary context before any content changes happen. They keep your agent's data flow accurate right from the start.

Set up recurring webhooks

Build reliable, event-driven connections to other systems. Use `create_webhook` when you need an external service alerted about activity in Ziflow. Furthermore, your agent can monitor existing connections by calling `list_webhooks`. This lets the system confirm which endpoints are active and receiving data.

Setup guide

Set up Ziflow 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 Ziflow tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Ziflow 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="Ziflow Agent",
            instructions="You have access to Ziflow 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 Ziflow MCP in OpenAI Agents SDK

You use the `search_proofs` tool to find specific content submissions. This function takes parameters like keywords or dates, giving your agent precise results immediately.

You manage webhooks using `list_webhooks` to view active endpoints. To set up a new trigger, you call `create_webhook`, ensuring your external systems are properly linked.

Yeah, you can list proof metadata by calling `list_integration_properties`. This gives a comprehensive view of all the technical details attached to any given piece of content.

The agent uses `list_team_users` to retrieve a list of everyone in the system. It's a straightforward call that gives you all necessary usernames and roles for context.

This server handles proof metadata, which is accessed via tools like `list_integration_properties`. This includes structured details about the content submissions and associated review settings.

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