Cookie Consent MCP
Set up cookie consent from your AI assistant, over MCP.
What it does
Connect Claude, ChatGPT, or any MCP client to One Privacy and set up cookie consent with a single prompt. One Privacy scans your site, identifies and categorizes cookies, configures the consent banner, applies GDPR/CCPA geo rules, and returns the installation script,all through MCP. You stay in control, MCP keys carry the permissions of their creator, and anything that affects real visitors requires your approval.
One Privacy runs a free scan that shows which cookies load before consent, then fixes it with one script: a geo-targeted banner for GDPR, CCPA and DPDP, and audit-ready consent records.
Most tools stop at a snippet and a link to the docs. We wire Google Tag Manager and Consent Mode v2 with you, so your tags really wait for consent. Works with ChatGPT, Claude, or any client that speaks MCP. Anything that touches live visitors waits for your confirmation first. One banner UI. Three consent types based on the law that applies to your visitors. Customise the copy, colours, and layout, or drop in your own CSS. Every domain gets a test script and a production script. Switch only when you are ready. You create the rules and link them to the right template. One Privacy detects where each visitor is from and applies the matching rule automatically. When a visitor's browser sends a…from oneprivacy.io
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MCP-Builder.ai11d ago · mcp-builder.ai · ▲174The fastest way to connect your data with your AI Tools.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com