Brivo MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Brivo as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Brivo. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Brivo?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Brivo tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Brivo MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Brivo MCP Server
LlamaIndex provides unique advantages when paired with Brivo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Brivo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Brivo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Brivo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Brivo tools were called, what data was returned, and how it influenced the final answer
Brivo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Brivo MCP Server delivers measurable value.
Hybrid search: combine Brivo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Brivo to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Brivo for fresh data
Analytical workflows: chain Brivo queries with LlamaIndex's data connectors to build multi-source analytical reports
Brivo MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Brivo to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Brivo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBrivo + LlamaIndex FAQ
Common questions about integrating Brivo MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Brivo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Brivo to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.