golioth/tinymcp

Let LLMs control embedded devices via the Model Context Protocol.

34
/ 100
Emerging

This project helps operations engineers and IoT developers allow large language models (LLMs) to directly control remote embedded devices, like smart sensors or actuators. You provide your device's commands and capabilities, and the LLM can then interact with it using natural language. The output is a device that can be commanded by an AI through a simple interface.

149 stars. No commits in the last 6 months.

Use this if you need to enable an AI to issue commands and receive feedback from remote embedded hardware, like turning lights on or off, or reading sensor data, without writing specific integration code for each new AI application.

Not ideal if you need a solution for connecting AI to desktop applications or cloud services, as this project specifically targets embedded hardware.

IoT device control AI-driven automation embedded systems remote device management smart hardware
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 7 / 25

How are scores calculated?

Stars

149

Forks

5

Language

Go

License

Apache-2.0

Last pushed

Jul 03, 2025

Commits (30d)

0

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