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Vinkius

Brivo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Brivo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Brivo Assistant",
            instructions=(
                "You help users interact with Brivo. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Brivo"
        )
        print(result.final_output)

asyncio.run(main())
Brivo
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Brivo MCP Server

Connect your Brivo Access account to any AI agent and orchestrate your physical security, facility management, and user provisioning workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Brivo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Brivo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Door Control & Status — List all access points, check their live status (open/closed/locked), and trigger momentary unlocks directly from your workspace.
  • User Provisioning — List and retrieve detailed profiles for all users and manage their access groups and credentials.
  • Event Monitoring — Retrieve real-time or historical access events and security alarms to ensure facility safety.
  • Credential Oversight — List and audit physical and digital credentials (cards, mobile passes) assigned to users.
  • Schedule Coordination — Access time schedules used for automated locking and unlocking of your facility.

The Brivo MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Brivo to OpenAI Agents SDK via MCP

Follow these steps to integrate the Brivo MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Brivo

Why Use OpenAI Agents SDK with the Brivo MCP Server

OpenAI Agents SDK provides unique advantages when paired with Brivo through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Brivo + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Brivo MCP Server delivers measurable value.

01

Automated workflows: build agents that query Brivo, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Brivo, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Brivo tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Brivo to resolve tickets, look up records, and update statuses without human intervention

Brivo MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Brivo to OpenAI Agents SDK via MCP:

01

get_account_info

Retrieve core account/site information

02

get_door_status

Get live status of a door

03

get_user

Get details of a specific user

04

list_access_events

List recent access events and alarms

05

list_access_groups

List all access groups

06

list_credentials

List all access credentials (cards, pass, etc)

07

list_doors

List all access points (doors)

08

list_schedules

List time schedules for access

09

list_users

List all people/users in the system

10

unlock_door

Momentarily unlock a door

Example Prompts for Brivo in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Brivo immediately.

01

"List all the doors in my office."

02

"Unlock the 'Main Entrance' door (ID 101)."

03

"Show the recent access events for the Server Room."

Troubleshooting Brivo MCP Server with OpenAI Agents SDK

Common issues when connecting Brivo to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Brivo + OpenAI Agents SDK FAQ

Common questions about integrating Brivo MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Brivo to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.