How to Use the HID Origo MCP in AutoGen
Let your agents debate security policies. AutoGen manages your HID Origo MCP Server through consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HID Origo MCP to AutoGen
Create your Vinkius account to connect HID Origo 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.
Automate provisioning with AutoGen
The `create_enrollment_invitation` tool lets your multi-agent system issue mobile credentials. A request agent proposes a new user, while a security agent verifies the details. They debate the necessity of the access before anything gets provisioned. Once they reach consensus, the system calls `list_identity_users` to grab the specific ID and part number. The agents execute the invitation and verify the output together. You build a workflow where no single agent grants access unchecked.
Investigate access anomalies
Running `get_audit_log_events` pulls the recent history of door reads into the conversation. An auditor agent scans the JSON for failed attempts. If it finds a suspicious pattern, it flags the event for the rest of the group. An investigator agent then runs `get_user_details` on the flagged ID. The agents discuss whether the failed read was a glitch or an intrusion attempt. The MCP Server provides the raw data, and your agents figure out what it means.
Audit identity groups continuously
Use `list_identity_groups` to pull your access control policies into the chat. A compliance agent compares these groups against your internal security standards. It highlights any group that seems over-permissioned. Another agent runs `list_physical_credentials` to see exactly how many fobs are tied to that group. They negotiate a recommendation for restricting access and present you with the final plan. You get a fully deliberated security audit on demand via the MCP protocol.
Set up HID Origo 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 HID Origo 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="HID Origo_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent HID Origo 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="HID Origo_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent HID Origo 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 HID Origo. 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 HID Origo MCP in AutoGen
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