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 Pydantic AI 8 tools — connect in under 2 minutes

Name: myDevices
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect myDevices through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to myDevices "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in myDevices?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every myDevices tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the myDevices MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from myDevices with type-safe schemas

Why Use Pydantic AI with the myDevices MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your myDevices integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your myDevices connection logic from agent behavior for testable, maintainable code

myDevices + Pydantic AI Use Cases

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

Type-safe data pipelines: query myDevices with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple myDevices tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query myDevices and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock myDevices responses and write comprehensive agent tests

myDevices MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect myDevices to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

myDevices + Pydantic AI FAQ

Common questions about integrating myDevices MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your myDevices MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.