How to Use the ProcessOn MCP in OpenAI Agents SDK
Build production-grade diagram agents with ProcessOn and OpenAI Agents SDK. Manage files, exports, and collaborators with zero-config.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ProcessOn MCP to OpenAI Agents SDK
Create your Vinkius account to connect ProcessOn to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Automate file management for OpenAI Agents SDK
Your agent can now handle your diagram repository directly. Use `create_file` to spin up new flowcharts or `delete_file` to prune your workspace without leaving your Python code. Everything stays organized within your agent's context. The `list_files` and `get_recent_files` tools ensure your agent always knows exactly which diagram it is working on.
Handle complex exports with ProcessOn tools
Trigger exports programmatically using `export_file` during your agent's execution flow. This lets your system push final assets to storage or client endpoints the moment a diagram is ready. Your agent controls the entire pipeline. It pulls the specific file details via `get_file` before initiating the export, ensuring the correct version is always processed.
Manage team access through your AI client
Keep your collaboration loop tight by using `list_collaborators` to audit who has access to your work. Your agent acts as the gatekeeper for your organization's diagram data. It pulls metadata using `get_org_info` to provide context-aware responses. This creates a secure, transparent environment where your agent manages access rights in real-time.
Set up ProcessOn MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all ProcessOn tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives ProcessOn tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate ProcessOn tools and returns structured results. Copy the full example on the right to get started.
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="ProcessOn Agent",
instructions="You have access to ProcessOn 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 ProcessOn. 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
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 ProcessOn MCP in OpenAI Agents SDK
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