How to Use the Brivo MCP in AutoGen
Deploy AutoGen multi-agent teams to debate, verify, and execute Brivo physical access commands safely.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Brivo MCP to AutoGen
Create your Vinkius account to connect Brivo 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.
Run Multi-Agent AutoGen Debates Before Releasing Doors
This MCP server connects `unlock_door` and `get_door_status` directly to your multi-agent conversation threads. In AutoGen, your primary execution agent must debate with a security-audit agent before any physical lock is released. The security agent calls `get_door_status` and `list_access_events` to analyze recent activity. Only when both agents reach a consensus in the conversation thread does the tool adapter trigger the physical release command.
Coordinate Brivo User Audits with AutoGen Teams
This MCP server exposes `list_users` and `list_credentials` to automate your physical facility security audits. Your AutoGen auditor agent can pull user lists and hand them to a compliance agent for verification. The compliance agent checks each profile against `list_credentials` to find active badges without assigned owners. They discuss the findings in the chat log, compile a report, and decide whether to flag specific accounts.
Manage Access Schedules via Conversational Agents
This MCP server connects `list_schedules` to your agent group chats for collaborative calendar overrides. When a request to modify access hours comes in, a scheduling agent retrieves the current rules using the tool. A secondary operations agent reviews the requested hours against facility policies. Once they agree the change is safe, they update the system, keeping a complete conversational audit trail of the decision.
Set up Brivo 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 Brivo 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="Brivo_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Brivo 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="Brivo_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Brivo 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 Brivo. 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 Brivo MCP in AutoGen
Use it with your favorite AI tools
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