How to Use the BoxLock MCP in LangChain

Q: Can LangChain automate BoxLock unlocks?

Yes. You pass the presstoopen tool to your agent. It handles the JSON payload required to actuate the hardware remotely.

Build supply chain logic in LangChain by chaining BoxLock tools to verify deliveries and trigger remote unlocks.

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Connect BoxLock MCP to LangChain

Create your Vinkius account to connect BoxLock 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 BoxLock with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain BoxLock events in LangChain

Pipe the output of `list_activities` directly into your reasoning chain. You can identify who opened a specific lock and when. This setup lets your agent decide if a delivery is authorized. It triggers `press_to_open` only after confirming the user identity via `list_users`.

Automate security with BoxLock

Feed `list_locations` into your LangGraph nodes to map out your infrastructure. Your agent knows exactly where each device sits. Everything happens in sequence. You get full LangSmith tracing for every `get_lock` call, so you see exactly how your agent makes security decisions.

Manage devices through this MCP Server

Use `list_locks` to inventory every device in your organization. This provides the raw data your chain needs to perform audits. It connects to your LangChain agent as a standard tool. The agent parses the JSON output of `list_barcodes` to verify inventory against incoming packages.

Setup guide

Set up BoxLock 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 BoxLock 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({
    "boxlock-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 BoxLock 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 BoxLock. 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 BoxLock MCP in LangChain

Install the MCP adapters package and initialize the multi-server client. Point it at your Vinkius endpoint to start pulling in lock data.

Yes. You pass the `press_to_open` tool to your agent. It handles the JSON payload required to actuate the hardware remotely.

LangChain stores tool outputs in your session state. You can keep track of recent lock activities across multiple turns.

The server uses your Vinkius-managed token. The agent only gets access to the tools you explicitly include in its definition.

Your lock activity logs stay within your local execution environment. Vinkius secures the transport layer between the server and your agent.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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