Can my AI read sensor data from my Particle devices?

Yes! Use the `read_variable` tool with your device ID and the variable name (e.g., temperature, humidity, soilMoisture). Your device must expose this variable in its firmware using `Particle.variable()`. The AI will return the current sensor value in real-time. You can find available variables using `get_device_info`.

How do I remotely turn on a pump or actuator connected to a Particle device?

Use the `call_function` tool with your device ID and the function name (e.g., pumpOn, valveOpen). The function must be exposed in your device firmware using `Particle.function()`. You can pass an optional argument (like duration or intensity) to control the actuator behavior. Check available functions with `get_device_info`.

Can I check if my IoT device is online and responding?

Yes! Use the `ping_device` tool to instantly check the online status of any Particle device. You can also use `get_devices` to see the online status of all your devices at once. If a device shows as offline, it may be powered off, disconnected from Wi-Fi, or experiencing firmware issues.

Particle IoT MCP Server for Cursor 8 tools — connect in under 2 minutes

Name: Particle IoT
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 8 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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Classic Setup·json

{
  "mcpServers": {
    "particle-iot": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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About Particle IoT MCP Server

Connect your Particle IoT API to any AI agent and take full control of your IoT device fleet, sensor monitoring, remote actuator control, and event management through natural conversation.

Cursor's Agent mode turns Particle IoT into an in-editor superpower. Ask Cursor to generate code using live data from Particle IoT and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Device Management — List all connected devices, check online status, rename devices, and manage ownership
Sensor Monitoring — Read real-time sensor data from cloud variables (temperature, humidity, soil moisture, etc.)
Remote Control — Execute cloud functions to control actuators, trigger calibrations, and change device modes
Event Publishing — Broadcast custom events to the cloud for logging, alerting, and webhook integration
Health Monitoring — Ping devices to verify connectivity and troubleshoot communication issues
Fleet Overview — Get comprehensive views of your entire IoT deployment and device status

The Particle IoT MCP Server exposes 8 tools through the Vinkius. Connect it to Cursor 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 Particle IoT to Cursor via MCP

Follow these steps to integrate the Particle IoT MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Particle IoT

Open Agent mode in chat and ask: "Using Particle IoT, help me...". 8 tools available

Why Use Cursor with the Particle IoT MCP Server

Cursor AI Code Editor provides unique advantages when paired with Particle IoT through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Particle IoT + Cursor Use Cases

Practical scenarios where Cursor combined with the Particle IoT MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Particle IoT MCP Tools for Cursor (8)

These 8 tools become available when you connect Particle IoT to Cursor via MCP:

call_function

Functions are defined in the device firmware and can control actuators (turn on pump, open valve), trigger calibrations, change device modes, or perform system tasks. Accepts a single string argument (max 63 characters) to pass to the function. Returns the function execution result code. Essential for remote device control, automation, and actuator management. AI agents should use this when users ask "turn on the water pump on device X", "trigger calibration on sensor Y", or need to remotely control any function exposed by a device. Execute a cloud function on a specific Particle IoT device

get_device_info

Essential for understanding device capabilities before interacting with it. AI agents should reference this when users ask "what variables does device X expose", "what functions can I call on device Y", or need to understand the specific interface of a device. Get detailed information about a specific Particle IoT device

get_devices

Returns device IDs, names, online status, firmware versions, and last connection times. Essential for device inventory management, monitoring connection health, and selecting specific devices for interaction. AI agents should use this when users ask "show me all my devices", "list connected sensors", or need to identify available devices before reading variables or calling functions. List all Particle IoT devices connected to your account

ping_device

Returns current online/offline status and last heard time. Essential for connectivity diagnostics, health monitoring, and verifying device availability before attempting to read variables or call functions. AI agents should reference this when users ask "is device X online", "check connectivity for sensor Y", or need to troubleshoot device communication issues. Check if a specific Particle IoT device is online and responsive

publish_event

Events are broadcast to all subscribed listeners and can be used for inter-device communication, logging, alerting, or triggering external workflows via webhooks. Requires an event name and optional data string (max 255 bytes for data). Essential for sending alerts, logging custom data, and integrating with external systems like IFTTT or custom dashboards. AI agents should use this when users ask "send a low moisture alert", "publish a system status event", or need to broadcast data from the cloud to devices or webhooks. Publish a custom event to the Particle Cloud

read_variable

Variables are defined in the device firmware and can represent sensor readings (temperature, humidity, soil moisture), system status, or configuration values. Returns the variable name, data type, and current value. Essential for real-time sensor monitoring, data collection, and system state verification. AI agents should use this when users ask "what is the temperature from sensor X", "read soil moisture from device Y", or need to get the current value of any sensor or status variable. Read the current value of a cloud variable from a specific device

rename_device

This name appears in the console and API responses, making it easier to identify devices. Essential for device organization, fleet management, and improving readability of device lists. AI agents should use this when users ask "rename device X to Greenhouse Sensor 1", "change the name of device Y to Pump Controller", or need to update device naming for better organization. Rename a specific Particle IoT device

unclaim_device

This action is irreversible for the current account and should be used when transferring device ownership or decommissioning devices. Essential for device lifecycle management, transferring devices, and account cleanup. AI agents should use this when users ask "remove device X from my account", "unclaim sensor Y so I can sell it", or need to manage device ownership. WARNING: This requires confirmation as it removes access to the device. Remove a Particle IoT device from your account

Example Prompts for Particle IoT in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Particle IoT immediately.

"Show me all my connected Particle devices and their online status."

"Read the current soil moisture from my greenhouse sensor."

"Turn on the irrigation pump for 15 minutes."

Troubleshooting Particle IoT MCP Server with Cursor

Common issues when connecting Particle IoT to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Particle IoT + Cursor FAQ

Common questions about integrating Particle IoT MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.