Optical Design and Simulation in Matlab
Yet another MATLAB toolbox for a field with Zemax and Code V.

Finally, an MCP server that solves hardware sourcing instead of just generating text.
Robotics engineers, hardware developers, and AI agent builders working with computer vision systems.
DigiKey API · Mouser Electronics · Octopart
Yet another MATLAB toolbox for a field with Zemax and Code V.
Google Lens already does this for free with better data and no subscription wall.
MCP server integration lets AI agents query threat intel without writing scrapers.
Six fulfillment adapters behind one MCP contract when nobody else is doing this.
The site weaponizes a compact set of benchmarks — throughput, RAM, cold-start, F1 score and install footprint — and even publishes raw JSON on GitHub, which makes it immediately useful for teams comparing ingestion options. Kreuzberg's Rust implementation posts jaw-dropping numbers against common tools; that's interesting, but the page leaves out crucial reproducibility details (datasets, seed runs, environment configs) you'd want before trusting the magnitude of those gaps.
The post reframes provider security as ten blunt user questions (Can anyone else see my data? Will I get unexpected bills?) and pairs each score with an evidence grade (Verified / Documented / Claimed / Unknown). That combo—user-centric risks plus provenance—is genuinely useful for non-security experts, but the writeup stops short of publishing the detailed scoring rubric, test data, or a live comparison dashboard that would turn this from a helpful essay into a decision-making tool.