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How to Use the Brivo MCP in LlamaIndex

Index Brivo access logs and door statuses directly into LlamaIndex vector stores for RAG-driven physical security.

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LlamaIndex

Connect Brivo MCP to LlamaIndex

Create your Vinkius account to connect Brivo to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Index Live Brivo Event Logs into LlamaIndex

This MCP server exposes `list_access_events` to feed physical entry logs directly into your vector databases. Your LlamaIndex agent calls this tool and indexes the raw JSON payloads, making physical entry logs fully searchable. Instead of writing complex SQL queries to find out who accessed a server room, you query your index. The agent retrieves the relevant event nodes, runs `get_user` to resolve names, and answers your question using actual, grounded data.

Query Physical Security Schedules with LlamaIndex RAG

This MCP server connects `list_schedules` and `get_door_status` to your semantic search indices. By indexing the output of these tools, your LlamaIndex pipeline can instantly verify if a specific door should be open at 3 AM. The system matches your natural language queries against the indexed schedules. If a discrepancy is found, the agent uses `get_door_status` to check the physical state of the lock and reports the variance.

Map Credentials and Access Groups

This MCP server exposes `list_access_groups` and `list_users` to build a complete map of your facility permissions. LlamaIndex pulls this data to construct a vector space of your facility's permissions. When you ask who has access to the warehouse, the agent queries this vector space. It resolves group memberships, links them to individual users via `list_users`, and outputs a clean list without hallucinating permissions.

Setup guide

Set up Brivo MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Brivo MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Brivo tools.",
)
response = await agent.run("List recent Brivo data")

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 LlamaIndex

You use the MCP tool spec to load tools like `list_access_events`. The output of this tool is loaded into a document reader, which parses the access logs and indexes them into your vector store.
Yes, by executing `list_access_groups` through the MCP server. LlamaIndex vectorizes the group definitions, allowing semantic search to find which group matches a specific access profile.
The agent relies on real-time data from `get_door_status`. Because the tool execution returns the actual physical state of the lock, LlamaIndex grounds its response in this direct API output rather than static training data.
Install llama-index-tools-mcp, initialize the client with your Vinkius HTTP URL, and convert the spec to a tool list. Pass this list directly to your FunctionAgent.
All communication with the Brivo API occurs over encrypted channels through a sandboxed V8 isolate. Your physical door states and user directory records are processed in memory and never written to permanent disk storage.

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