How to Use the Digify MCP in AutoGen
Let your AutoGen agents debate and audit your secure Digify files to flag compliance risks automatically.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Debate file access risks in AutoGen
The `list_file_recipients` tool provides a complete list of users who can access a specific secure Digify file during an AutoGen debate. In your AutoGen group chat, a compliance agent can run this tool, while a security agent reviews the list to debate if any external domains pose a Digify leak risk. This collaborative AutoGen process ensures that Digify access anomalies are caught through multi-agent consensus. Your AutoGen agents discuss the Digify findings before presenting a unified report to your security team.
Audit data rooms using AutoGen MCP Server tools
The `quick_file_audit` tool retrieves high-level summaries of file views and security configurations across your entire Digify workspace for AutoGen analysis. An AutoGen auditor agent executes this tool to gather the raw Digify facts, then hands the data to a writer agent to draft a compliance memo. Because AutoGen relies on agent-to-agent conversation, the Digify tools are called dynamically based on the needs of the discussion. This keeps your Digify auditing workflow inside AutoGen completely hands-off until a critical decision is required.
Monitor account usage limits in AutoGen
The `get_security_account_metadata` tool pulls current usage statistics and security limits for your Digify account directly into your AutoGen workflow. Your AutoGen resource agent monitors these Digify metrics to alert other agents when you are close to hitting your file upload thresholds. The AutoGen agents can then coordinate to clean up old Digify assets or adjust their processing rate. This prevents your automated AutoGen pipelines from breaking due to unexpected Digify API limits.
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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Digify tools and returns structured results.
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) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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) 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
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