ProcessOn MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ProcessOn as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="processon_agent",
tools=tools,
system_message=(
"You help users with ProcessOn. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ProcessOn tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the ProcessOn MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from ProcessOn automatically
Why Use AutoGen with the ProcessOn MCP Server
AutoGen provides unique advantages when paired with ProcessOn through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ProcessOn tools to solve complex tasks
Role-based architecture lets you assign ProcessOn tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive ProcessOn tool calls
Code execution sandbox: AutoGen agents can write and run code that processes ProcessOn tool responses in an isolated environment
ProcessOn + AutoGen Use Cases
Practical scenarios where AutoGen combined with the ProcessOn MCP Server delivers measurable value.
Collaborative analysis: one agent queries ProcessOn while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from ProcessOn, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using ProcessOn data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process ProcessOn responses in a sandboxed execution environment
ProcessOn MCP Tools for AutoGen (10)
These 10 tools become available when you connect ProcessOn to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting ProcessOn to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"ProcessOn + AutoGen FAQ
Common questions about integrating ProcessOn MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect ProcessOn with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
