ProcessOn MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ProcessOn through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="ProcessOn Assistant",
instructions=(
"You help users interact with ProcessOn. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ProcessOn"
)
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 ProcessOn MCP Server
Empower your AI agent to orchestrate your visual documentation with ProcessOn, the premier online platform for flowcharts, mind maps, and organizational charts. By connecting ProcessOn to your agent, you transform complex diagram management and project coordination into a natural conversation. Your agent can instantly list your files, create new diagrams, export your work into multiple formats, and even monitor collaborators without you ever needing to navigate the web interface. Whether you are designing a system architecture or a complex business process, your agent acts as a real-time visual documentation assistant, keeping your diagrams organized and your production moving.
The OpenAI Agents SDK auto-discovers all 10 tools from ProcessOn through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries ProcessOn, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Diagram Orchestration — List all accessible flowcharts, mind maps, and diagrams across your ProcessOn workspace.
- File Management — Create, retrieve, and delete diagrams with full support for collaborative metadata.
- Export Control — Seamlessly export diagrams into standard formats like png, pdf, svg, and Visio.
- Folder Organization — Browse folder structures and manage diagram locations efficiently.
- Collaboration Monitoring — List file collaborators and manage access insights for your team.
The ProcessOn MCP Server exposes 10 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.
How to Connect ProcessOn to OpenAI Agents SDK via MCP
Follow these steps to integrate the ProcessOn MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from ProcessOn
Why Use OpenAI Agents SDK with the ProcessOn MCP Server
OpenAI Agents SDK provides unique advantages when paired with ProcessOn 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
ProcessOn + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ProcessOn MCP Server delivers measurable value.
Automated workflows: build agents that query ProcessOn, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries ProcessOn, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ProcessOn tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ProcessOn to resolve tickets, look up records, and update statuses without human intervention
ProcessOn MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect ProcessOn to OpenAI Agents SDK via MCP:
create_file
Create a new diagram
delete_file
Delete a diagram
export_file
Export a diagram
get_file
Get diagram file details
get_folder_content
Get folder contents
get_org_info
Get organization details
get_recent_files
Get recent files
list_collaborators
List file collaborators
list_files
List all ProcessOn files
list_folders
List all folders
Example Prompts for ProcessOn in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ProcessOn immediately.
"List all my flowcharts on ProcessOn."
"Create a new mind map titled 'Q4 Goals' in the 'Planning' folder."
"Export the diagram 'Architecture V2' to PNG format."
Troubleshooting ProcessOn MCP Server with OpenAI Agents SDK
Common issues when connecting ProcessOn to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ProcessOn + OpenAI Agents SDK FAQ
Common questions about integrating ProcessOn 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.Does the SDK support streaming responses?
Connect ProcessOn with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ProcessOn to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.