How do I get my API credentials?

Register a developer account at mydevices.com and create a new application in the developer portal to get your Client ID and Secret.

Does this work with Cayenne LPP?

Yes, as long as the data is correctly indexed in the Cayenne dashboard, this server can retrieve it via the REST API.

myDevices MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: myDevices
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect myDevices through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "mydevices": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using myDevices, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About myDevices MCP Server

Connect your myDevices Cayenne account to empower your AI agents with IoT capabilities. This server allows for real-time monitoring and control of connected sensors and actuators.

LangChain's ecosystem of 500+ components combines seamlessly with myDevices through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Device Visibility — List and inspect all connected IoT devices and their metadata
Telemetry Monitoring — Access real-time sensor data and historical telemetry records
Remote Control — Send commands to actuators and control hardware programmatically
Alert Management — Monitor and track IoT system alerts and notifications

The myDevices MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect myDevices to LangChain via MCP

Follow these steps to integrate the myDevices MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from myDevices via MCP

Why Use LangChain with the myDevices MCP Server

LangChain provides unique advantages when paired with myDevices through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine myDevices MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across myDevices queries for multi-turn workflows

myDevices + LangChain Use Cases

Practical scenarios where LangChain combined with the myDevices MCP Server delivers measurable value.

RAG with live data: combine myDevices tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query myDevices, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain myDevices tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every myDevices tool call, measure latency, and optimize your agent's performance

myDevices MCP Tools for LangChain (8)

These 8 tools become available when you connect myDevices to LangChain via MCP:

get_device

Get device details

get_sensor_data

Get current sensor value

get_sensor_history

Get historical sensor data

list_alerts

List IoT alerts

list_applications

List all applications

list_devices

List all IoT devices

list_sensors

List sensors for a device

send_command

Send command to device

Example Prompts for myDevices in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with myDevices immediately.

"List all my connected IoT devices."

"What is the current temperature reading from 'Sensor #1'?"

Troubleshooting myDevices MCP Server with LangChain

Common issues when connecting myDevices to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

myDevices + LangChain FAQ

Common questions about integrating myDevices MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.