Su

Supergateway – run AI MCP servers remotely

Hacker News

Supergateway – run AI MCP servers remotely

Yo, we’ve just released Supergateway. Now most of MCP servers only support stdio transport and this is problematic if you want remote assistants to access them. MCP spec has SSE transport which works with remote HTTP connections but it is rarely used by MCP server authors. So I’ve created this gateway that allows you to run stdio transport MCP servers and tunnel them via SSE transport. It’s very simple to use. Run any stdio MCP server like this: npx -y supergateway --stdio "uvx mcp-server-git" It’s totally open-source and supports pretty much any MCP server. We’ve built this since we have an AI infrastructure platform (Superinterface) that allows you to use MCP servers in remote assistants and we saw that we cannot really run any community MCP servers without something like this. It’s def pretty cool to see remote assistants embedded on a website being able to access these cool MCP servers. Let me know what you think! /Domas

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Product HuntOn track for Day 1 leaderboard · Strong signals: mcp, open · Missing: mac, agents, macos
86%86% 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: way · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: just released, io · Missing: https docs, excited, exist
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Strong signals: supports, created · Missing: reddit linkedin, podcasting, latex
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews
27%27% 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
19%19% 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.

Incorrect prediction on native model

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