'tinymcp: Unlocking the Physical World for LLMs with MCP and Microcontrollers'
Today we are launching tinymcp, a Model Context Protocol (MCP) server and framework that enables any connected device to expose remote functionality to Large …
Category
AI
9 posts
Detecting Text From Images Over A Cellular Link
This post and video demonstrate taking a photo with a low power camera and cellular-based microcontroller and transmitting to the cloud for processing. Rick Jen …
Download Images to IoT Devices Using OTA
The Golioth OTA service can handle more than just Over-the-Air firmware upgrade. This example application demonstrates multiple-artifact releases, where a …
Sending Audio for IoT to the Cloud
Uploading audio from IoT devices to the Cloud is easy with Golioth. Here's everything you need to know to deliver large chunks of data from your fleet to …
Upload Images from IoT Devices Using Block Upload
This post walks through how to upload images from IoT devices to Golioth over CoAP using block upload. Once the image is at the server, Golioth Pipelines can …
Using the Hugging Face Inference API for Device Audio Analysis
The Hugging Face Inference API makes it easy to integrate any public or private AI model with Golioth Pipelines for use-cases such as text, video, and audio …
How to Update a TensorFlow Lite Model Remotely
Golioth enables AI applications by pushing TF Lite model updates directly to devices. These can be stored locally and begin running without a device restart. …
Using OpenAI Structured Outputs for IoT Data Pipelines
OpenAI's Structured Outputs allow callers to provide a JSON schema to define the structure in which responses should be formatted. When combined with Golioth …
Introducing Golioth for AI
Today, we are thrilled to announce the launch of Golioth for AI, a comprehensive set of features designed to simplify and enhance the integration of AI into IoT …