How to Use the ProcessOn MCP in AutoGen

Q: How do I initialize the ProcessOn tools in AutoGen?

Use mcpservertools with your HTTP parameters. AutoGen's McpToolAdapter automatically translates the ProcessOn tool schemas for your AssistantAgent.

Q: Can AutoGen agents use the MCP Server to organize ProcessOn folders?

Yes. One agent can read the current state with listfolders, propose a new structure, and have a manager agent approve the changes.

Q: How does AutoGen handle ProcessOn API errors?

If getfile fails because a diagram was moved, the executing agent reports the error back to the group. The agents discuss the failure and try a different search.

Build multi-agent debates around ProcessOn workspace organization using AutoGen.

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Setup ProcessOn with AutoGen

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Agents debate workspace changes

AutoGen lets multiple agents argue over your files. You set up a cleanup agent that wants to run `delete_file` on old diagrams. A separate compliance agent pushes back. It checks `list_collaborators` to see if anyone active is still attached to the file. They negotiate a consensus before executing anything.

Delegate ProcessOn MCP Server tasks

You don't want one massive agent doing everything. Split the workload. Assign one agent to strictly handle `get_folder_content` and map the territory. Assign a second agent to execute `create_file` based on the first agent's map. They pass messages back and forth, handling the flowchart organization autonomously.

Audit exports automatically

Managing file exports manually is a waste of time. An AutoGen watcher agent can monitor `get_recent_files` for new additions. When it spots one, it alerts a publisher agent. That second agent runs `export_file` and distributes the mind map to the team. Zero human intervention required.

Setup guide

Set up ProcessOn MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes ProcessOn tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="ProcessOn_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ProcessOn data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="ProcessOn_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ProcessOn data")
    print(result.messages[-1].content)

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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.

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Common questions about ProcessOn MCP in AutoGen

Use `mcp_server_tools` with your HTTP parameters. AutoGen's `McpToolAdapter` automatically translates the ProcessOn tool schemas for your `AssistantAgent`.

Yes. One agent can read the current state with `list_folders`, propose a new structure, and have a manager agent approve the changes.

Only if you let it. You should keep a human in the loop for the `delete_file` tool, or write strict system prompts requiring multi-agent consensus first.

If `get_file` fails because a diagram was moved, the executing agent reports the error back to the group. The agents discuss the failure and try a different search.

It processes your file names, folder hierarchies, and collaborator emails. Vinkius strips all credentials at the edge, ensuring your team's flowchart metadata stays isolated within the MCP Server.

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