
mcpbeat
Uptime, installs and code checks for 25,000 MCP servers
What it does
Every MCP catalogue shows you a list. mcpbeat shows you what happens to a server over time. I ping 12,000+ live servers every 15 minutes and keep the history. 2,320 of them are dead while the official registry still lists them as active. I pull real install counts from npm and PyPI instead of GitHub stars. And I read the source: file access, shell calls, install hooks. Every finding comes with the file, the line, and a link to the exact commit I read, so you can check it in a minute.
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- Is Your MCP Ready?Jun 2026 · isyourmcpready.com · ▲10
Score any MCP server's agent-readiness in 30 seconds
- MTMCP-tidy – How many MCPs in your Claude Code are you actually using?Jan 2026 · github.com · ▲10
Hi HN, I built mcp-tidy to solve a problem I kept running into with Claude Code. As I tried different MCP servers over the past few months, my ~/.claude.json accumulated servers I'd forgotten about. Claude Code loads all tool descriptions (built-in + MCP) into context, so unused servers add overhead you don't need. The tool is simple: three commands. - `mcp-tidy list` - see what's configured (global + per-project) - `mcp-tidy stats` - check actual usage from transcript logs - `mcp-tidy remove --unused` - clean up with automatic backup It parses the JSONL transcript logs in…
- ODOpen database tracking 77K public DNS servers every 10 minutesDec 2025 · dnsdirectory.com · ▲7
Hey HN! We built DNS Directory (https://dnsdirectory.com), a free, searchable database of public DNS servers with live monitoring every 10 minutes. We needed to find an up-to-date list of DNS servers used by carriers around the world for a proxy fingerprinting / web-scraping project but we were shocked to find that it didn’t exist so we built it ourselves in an internal Hackathon We’re adding more features but so far we: Test 77K+ servers every ~10 minutes Allow filtering by uptime, location, security features (ad blocking, malware protection, DNSSEC) Show info on IPv6…
More ai this month
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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 · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
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 · 27d 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 · 17d ago · simedw.com