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How to Use the HID Origo MCP in LlamaIndex

Index your physical security data. LlamaIndex turns your HID Origo MCP Server into a searchable knowledge base.

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LlamaIndex

Connect HID Origo MCP to LlamaIndex

Create your Vinkius account to connect HID Origo 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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Query access logs with LlamaIndex

The `get_audit_log_events` tool pulls your administrative and access history straight into your vector store. LlamaIndex embeds these records so you ask natural language questions about recent door reads. You stop digging through raw JSON and just ask the agent what happened. When you query the index, the agent retrieves the exact timestamp and user ID from the API. It grounds its answers in real historical data rather than guessing. You build RAG pipelines that actually know who entered the building yesterday.

Map your organizational hardware

Executing `list_access_readers` feeds your index a complete list of IoT door controllers. The framework maps your physical infrastructure into searchable documents. You instantly find which controllers belong to specific identity groups. The agent pairs this with `get_organization_info` to understand the tenant configuration. That context feeds your RAG application the exact parameters it needs to answer complex security questions. The MCP Server keeps the connection secure while LlamaIndex builds the map.

Track mobile identity issuance

Calling `list_identity_invitations` and `list_mobile_identities` pulls the active state of every digital card into your knowledge base. You track who received an invite and who actually activated it. The agent indexes this status alongside your standard HR documents. If a user asks why their access failed, the agent searches the index and finds their pending invitation. It cross-references `get_user_details` to confirm the account exists. You get instant, grounded answers about credential states without opening a dashboard.

Setup guide

Set up HID Origo 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 HID Origo 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 HID Origo tools.",
)
response = await agent.run("List recent HID Origo data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HID Origo. 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 HID Origo MCP in LlamaIndex

Install `llama-index-tools-mcp` and set up a `BasicMCPClient`. Pass the client to your `McpToolSpec` to expose the identity endpoints.
Yes. You pull the full directory and embed it for semantic search. The agent answers questions based on actual user records.
No. You need to schedule the agent to re-run the tool calls. The index only knows what it pulled during the last execution.
Yes. The server exposes the enrollment endpoints. You trigger new invitations directly from your RAG application.
This integration reads door controller logs, user details, and credential states. The MCP Server operates on a zero-trust architecture, passing data strictly to your local LlamaIndex instance without external storage.

Start using the HID Origo MCP today

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