How to Use the Hologram.io MCP in LangChain

Q: Can LangChain automate Hologram.io device suspension?

Yes. Your agent uses pausesimdata to shut down connectivity for specific SIM IDs. You control the logic that triggers this action based on your own data thresholds.

Build automated IoT fleet management pipelines using LangChain agents and Hologram.io.

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Connect Hologram.io MCP to LangChain

Create your Vinkius account to connect Hologram.io 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 Hologram.io with LangChain

Ask AI about this MCP

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Claude

Perplexity

Chain fleet data into complex workflows

Connect `list_iot_devices` directly to your LangChain agent to trigger automated diagnostics. You can feed the output of device status checks into conditional chains that evaluate fleet health without manual intervention. This setup lets your agent decide exactly when to query `get_device_details` based on previous node performance. It transforms raw cellular metadata into a structured logic flow within your existing LangGraph pipelines.

Programmatic SIM lifecycle control

Trigger `pause_sim_data` or `unpause_sim_data` directly from your agent's decision logic. When your chain identifies a rogue device consuming excess bandwidth, the agent executes the suspension command immediately. This keeps your infrastructure costs predictable by cutting off connectivity before overage fees trigger. You define the thresholds in your code, and the MCP server handles the cellular handshake.

Real-time usage monitoring for agents

Use `get_daily_usage_stats` to provide your agent with the context it needs to audit your entire fleet. Your LangChain agent analyzes these metrics to flag anomalies before they impact your operational budget. By passing these stats into a chain, you build a self-monitoring system that flags high-usage spikes. It turns static billing logs into active telemetry for your IoT infrastructure.

Setup guide

Set up Hologram.io 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 Hologram.io 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({
    "hologramio-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 Hologram.io 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 Hologram.io. 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 Hologram.io MCP in LangChain

You install the MCP adapters and point your client to the Vinkius endpoint. The agent then discovers the tools automatically and integrates them into your execution chain.

Yes. Your agent uses `pause_sim_data` to shut down connectivity for specific SIM IDs. You control the logic that triggers this action based on your own data thresholds.

The server is stateless by design. You use the client session features to maintain context across your agent's multi-step reasoning process.

Use LangSmith tracing to inspect the inputs and outputs of every tool call. This allows you to verify exactly what data the server returned for each device request.

Your IoT device metadata and usage stats transit through an encrypted tunnel. The server only exposes what you explicitly query via tools, keeping your sensitive cellular records contained.

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