How to Use the Digify MCP in AutoGen

Q: How do AutoGen agents resolve conflicts when using Digify tools?

One agent runs protectfile while another checks the settings with getfile. If the watermark doesn't meet compliance, they negotiate the correct parameters.

Q: Which Digify tools does a basic AutoGen agent need?

It depends on the task, but typically listdatarooms and inviteguest are enough for basic room management. You pass these directly to the AssistantAgent constructor.

Let your AutoGen agents debate document security and coordinate secure rooms via this MCP Server.

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Connect Digify MCP to AutoGen

Create your Vinkius account to connect Digify to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Digify with AutoGen

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Run multi-agent security audits on your files

Your security agent calls `protect_file` to lock down sensitive PDFs after a compliance agent reviews them. They check the watermark settings and access rules before finalizing the share. This prevents human error in document distribution. The agents must agree on the security parameters before the file goes out.

Manage guest lists using AutoGen team consensus

Use `list_dataroom_guests` and `invite_guest` to let a gatekeeper agent and a sales agent coordinate room access. The sales agent requests access, while the gatekeeper checks background details before executing. This automates complex access workflows. You don't have to manually verify every guest email because the agents handle the validation.

Monitor data room health with this MCP Server

Call `get_dataroom_stats` and `list_activities` to feed real-time engagement data to an analyst agent. The agent flags inactive rooms or suspicious access patterns to your admin agent. This keeps your data rooms clean and secure. The team of agents continuously tracks activity and recommends when to archive old rooms.

Setup guide

Set up Digify 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 Digify 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="Digify_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Digify 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="Digify_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Digify 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 Digify. 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 Digify MCP in AutoGen

One agent runs `protect_file` while another checks the settings with `get_file`. If the watermark doesn't meet compliance, they negotiate the correct parameters.

Yes, the MCP Server adapter supports both stdio and Streamable HTTP transports. You connect your agents to the Vinkius endpoint using `StreamableHttpServerParams`.

The agents coordinate their tool calls to avoid hitting API thresholds. If a limit is reached, the execution framework manages retries automatically.

It depends on the task, but typically `list_datarooms` and `invite_guest` are enough for basic room management. You pass these directly to the `AssistantAgent` constructor.

Yes. All file metadata and sharing logs are transmitted through an encrypted V8 isolate sandbox. No data is stored permanently, ensuring your document structures remain completely private.

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