MCP MCP – an MCP server to list MCP servers

Hacker News

I've set a personal goal to spend at least 30 minutes at the end of every day trying to see through the AI hype and work out if there's anything in it that could have improved my day. Integrating MCP Servers into Claude Desktop has been an amazing step in that regard. But then I started wondering "I wonder what MCP Servers exist to help me manage my calendar?", and going off on distracting rabbit holes collecting lists of options. So I built MCP MCP to let me just ask Claude (or any other MCP Client) the answer. Building a homepage for it also turned into a good excuse to test out this vibe coding thing everyone is talking about.

Visit product View on Hacker NewsApr 24, 2025

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Actual performance

3points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, mcp, coding · Missing: mac, agents, macos

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, io · Missing: https docs, excited, just released

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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