Ziflow MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Proof, Create Webhook, Get Account Info, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Ziflow through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Ziflow app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Ziflow Assistant",
instructions=(
"You help users interact with Ziflow. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Ziflow"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Ziflow MCP Server
Connect your Ziflow account to any AI agent to automate your creative review and approval processes through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Ziflow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Ziflow, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Proof Management — Search for proofs, track versions, and monitor review statuses across your entire organization.
- Reviewer Experience — Generate secure viewer URLs for reviewers and manage contacts/team users efficiently.
- Decision Tracking — Submit approval decisions and manage integration properties for cross-platform synchronization.
- Real-time Events — Configure and monitor webhooks to stay updated on proofing events in real-time.
- Asset Organization — Manage assets associated with product SKUs or project codes directly through the AI interface.
The Ziflow MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Ziflow tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Ziflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-proofing, creative-workflow, content-review, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new proof
created. Create a new webhook
Get account profile
Find contact by email
Get proof details
Generate review link
List proof folders
List proof metadata
List all users
List active webhooks
Search for proofs
Submit proof decision
Connect Ziflow to OpenAI Agents SDK via MCP
Follow these steps to wire Ziflow into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Ziflow MCP Server
OpenAI Agents SDK provides unique advantages when paired with Ziflow through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Ziflow + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Ziflow MCP Server delivers measurable value.
Automated workflows: build agents that query Ziflow, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Ziflow, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Ziflow tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Ziflow to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Ziflow in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Ziflow immediately.
"Search for all active proofs in Ziflow."
"Generate a viewer link for proof ID '12345'."
Troubleshooting Ziflow MCP Server with OpenAI Agents SDK
Common issues when connecting Ziflow to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Ziflow + OpenAI Agents SDK FAQ
Common questions about integrating Ziflow MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.