How to Use the Egnyte MCP in AutoGen
Deploy AutoGen multi-agent teams to debate, verify, and execute complex file management workflows on Egnyte.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Egnyte MCP to AutoGen
Create your Vinkius account to connect Egnyte 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.
Multi-agent debate over Egnyte file deletions
`delete_item` is executed via this MCP Server only after your AutoGen agents debate the safety of removing a file. A security agent checks file history, while a storage agent argues for cleanup. They must reach a consensus before the tool is ever called. This prevents accidental data loss. The security agent runs `get_file_metadata` to check the file's age and owner before agreeing to the deletion. It adds a critical layer of automated negotiation to destructive actions.
Secure link generation via AutoGen MCP Server agents
`create_shared_link` is managed by a specialized sharing agent that negotiates link permissions with a compliance agent. The sharing agent proposes a link, and the compliance agent verifies it against active policies. They settle on the safest permission level. The compliance agent uses `list_shared_links` to audit all active links before approving a new one. If the team detects too many open links for a folder, they refuse to create a new one, forcing a cleanup conversation instead.
Automate user and group audits in AutoGen
`list_users` allows an auditor agent to fetch your user directory and initiate a reconciliation debate. The auditor agent compares this list with `list_groups` to find orphaned accounts or users with excessive permissions. It highlights security gaps through structured dialogue. This MCP server setup ensures a second admin agent can then suggest folder updates or group changes based on the debate. Your user directory matches your actual security policies without manual intervention because of this automated alignment.
Set up Egnyte 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 Egnyte 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="Egnyte_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Egnyte 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="Egnyte_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Egnyte 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 Egnyte. 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 Egnyte MCP in AutoGen
Use it with your favorite AI tools
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