How to Use the HID Origo MCP in LangChain

Q: How do I connect HID Origo to LangChain?

Install langchain-mcp-adapters and pass your endpoint token to MultiServerMCPClient. Call client.gettools() to expose the MCP tools to your ReAct agent.

Build multi-step identity chains. LangChain connects your HID Origo MCP Server to any database.

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Connect HID Origo MCP to LangChain

Create your Vinkius account to connect HID Origo to LangChain 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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Setup HID Origo with LangChain

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Claude

Perplexity

Chain HID Origo tools in LangChain

The `list_identity_users` tool pulls your entire user directory into memory. LangChain ReAct agents take that output and decide exactly who needs a mobile credential update. You build the logic, and the agent executes the lookups in sequence. Once the agent identifies a missing credential, it triggers `create_enrollment_invitation` directly in the same workflow. LangSmith tracks the exact latency and token usage of every API call. You get complete visibility into how your script handles identity provisioning.

Audit access events across your infrastructure

Calling `get_audit_log_events` returns the raw history of administrative actions and door reads. Your agent parses these logs to detect anomalies or track specific user movements. It passes the raw JSON into your next node for processing. If a read fails, the chain automatically fires `get_user_details` to check the identity status. You tie these tools together so a single failed access attempt triggers a full diagnostic pipeline. The MCP Server handles the authentication, so your chain just reads the data it needs.

Manage hardware via the MCP Server

Use `list_access_readers` to pull the active state of every IoT door controller connected to your system. Your script maps the hardware layout before attempting any credential assignments. This prevents issuing access to offline hardware. The agent then runs `list_mobile_identities` to check issuance status. You pipe this data into a database or use it to generate a daily report. The integration runs quietly in the background, executing your exact sequence.

Setup guide

Set up HID Origo MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes HID Origo tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "hid-origo-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent HID Origo transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Install `langchain-mcp-adapters` and pass your endpoint token to `MultiServerMCPClient`. Call `client.get_tools()` to expose the MCP tools to your ReAct agent.

Yes. Your agent reads a database, finds missing users, and calls the enrollment tool. You control the exact sequence of events.

It tracks every single request. You see the exact payload sent to the API and the latency of the response.

It lists IoT readers and door controllers. You get the metadata for the physical hardware connected to your tenant.

The server touches user IDs, mobile identity states, and access event history. The MCP protocol runs ephemerally in a V8 isolate, meaning no user data persists after the chain finishes execution.

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