Smithery – Model Context Protocol Hosting and Registry

Hacker News

I'm building smithery.ai to make it easy for developers to distribute Model Context Protocol ( https://modelcontextprotocol.io/ ) servers. You can think of Smithery as the OpenRouter for MCPs. You can connect your Github repo and quickly deploy and make your MCP discoverable. If you're building tools for LLMs and want to easily distribute and connect them with LLM clients (e.g., Claude Desktop or any developer building agents), I'd love to hear from you and get feedback! Documentation: https://smithery.ai/docs/deployments Discord community: https://discord.gg/Afd38S5p9Az

Visit product View on Hacker NewsJan 21, 2025

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

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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

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

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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