MCP-Builder.ai
The fastest way to connect your data with your AI Tools.
What it does
Build a hosted and secured MCP Server in minutes. Think of MCP-Builder.ai as Lovable for MCP connectors. Describe what you want to connect and it builds, hosts and secures your MCP Server for you. No deployment, infrastructure or security setup needed. Connect: • Databases • APIs • 3rd party apps • Files • And more Get your MCP URL, add it to Claude, ChatGPT, Cursor or any MCP compatible client and start using it.
Describe your use case — we build, secure and host a production MCP-Server connected to your data, ready for Claude, ChatGPT, Copilot and any AI tool.
We fix that in minutes. Describe your usecase and we build, secure, and host a production MCP-Server connected to your data, ready for any AI tool . From modern APIs to legacy databases, if it holds data, we connect to it. Tell us in plain english what your MCP-Server should do and which systems it should connect to. We generate a production-ready MCP-Server, add authentication, and host it. No DevOps, no servers to manage. Paste the server URL into Claude, ChatGPT, Copilot or any MCP client. You are live in minutes. One MCP-Server. Every AI client. Standard protocol, zero lock-in. Stop wasting time and tokens by building local MCP-Servers when you can start a fully secure and hosted proven…from mcp-builder.ai
Pricing, as stated on its site
Free tier, paid plans from $29/mo — MCP-Builder.ai offers a freemium model with a 7-day free trial. Paid plans start at $29/month for the Launch plan (1 MCP-Server, 100 requests/month), Pro at $75/month (3 MCP-Servers, 1,000 requests/mo
checked September 2026 · prices change
Does the same job
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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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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
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
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