Particle MCP Server
P

Particle MCP Server

The Particle MCP Server is a Model Context Protocol service designed for the Particle Internet of Things platform, allowing AI assistants to manage Particle devices through natural language.
2 points
5.4K

What is the Particle MCP Server?

The Particle MCP Server is a server based on the Model Context Protocol, specifically designed for the Particle Internet of Things platform. It allows users to interact with the AI assistant through natural language instructions, thus easily managing Particle devices without writing complex code.

How to use the Particle MCP Server?

Simply install and configure the server, and then set it up in an AI assistant that supports the MCP protocol (such as Claude). After that, you can use natural language to query device status, control devices, and perform other functions.

Applicable scenarios

Suitable for scenarios such as smart home control, IoT device management, and remote monitoring. It is particularly suitable for non - technical users to manage IoT devices through voice or chat interfaces.

Main features

Device management
List, rename devices, add device notes, and check device online status
Device control
Control devices directly by calling device functions
Device diagnostics
Get device operating status and health indicators
Organization management
View organizational structure and product list
Firmware management
View product firmware version information
Advantages
Manage IoT devices without programming knowledge
Support natural language interaction for a user - friendly experience
Cover the main API functions of the Particle platform
Open - source and under the MIT license, allowing free customization
Limitations
Require a Particle API access token
Currently only support Python 3.7+ environment
Some advanced features require a professional Particle account

How to use

Get an API access token
After installing the Particle CLI, run the 'particle token create' command to get an access token.
Configure environment variables
Create a.env file and add your PARTICLE_ACCESS_TOKEN.
Configure the AI assistant
Add server configuration to AI assistants that support MCP, such as Claude.

Usage examples

Check device status
Query device online status and operating conditions through natural language
Control smart lights
Control the on/off of smart lights through voice commands

Frequently Asked Questions

How to get a Particle API access token?
Which Python versions are supported?
Can I manage devices in multiple organizations?

Related resources

Particle official documentation
Complete reference documentation for the Particle cloud API
GitHub repository
Project source code and issue tracking
Postman API collection
Postman collection for testing the Particle API

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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