Can I unlock a door remotely using the agent?

Yes! Use the `unlock_door` tool with the Access Point ID. Your agent will trigger a momentary unlock command in Brivo, allowing entry instantly.

How do I check if a door is currently open or closed?

Simply ask the agent to `get_door_status` and provide the Access Point ID. It will retrieve the live state of the door from the Brivo cloud.

Does the integration allow adding a new user to the building?

The current toolset focuses on control and monitoring (Read-Only/Unlock) for operational efficiency. Provisioning new users or changing core permissions should be managed via the Brivo administrator portal.

Brivo MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Brivo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Brivo through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Brivo "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Brivo?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Brivo tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Brivo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Brivo with type-safe schemas

Why Use Pydantic AI with the Brivo MCP Server

Pydantic AI provides unique advantages when paired with Brivo through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Brivo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Brivo connection logic from agent behavior for testable, maintainable code

Brivo + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Brivo MCP Server delivers measurable value.

Type-safe data pipelines: query Brivo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Brivo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Brivo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Brivo responses and write comprehensive agent tests

Brivo MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Brivo to Pydantic AI via MCP:

get_account_info

Retrieve core account/site information

get_door_status

Get live status of a door

get_user

Get details of a specific user

list_access_events

List recent access events and alarms

list_access_groups

List all access groups

list_credentials

List all access credentials (cards, pass, etc)

list_doors

List all access points (doors)

list_schedules

List time schedules for access

list_users

List all people/users in the system

unlock_door

Momentarily unlock a door

Example Prompts for Brivo in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Brivo immediately.

"List all the doors in my office."

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

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

Troubleshooting Brivo MCP Server with Pydantic AI

Common issues when connecting Brivo to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Brivo + Pydantic AI FAQ

Common questions about integrating Brivo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Brivo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.