Xpack – open-source platform to host and monetize MCP-style APIs/tools

Hacker News

Hi HN, MCP-style APIs — small, composable APIs, tools, or AI functions — are becoming increasingly common. But handling auth, usage tracking, and billing for each one can be tedious and repetitive. Xpack is an open-source, self-hosted platform that helps you quickly launch, share, and monetize your own MCP services. It’s like a self-hosted version of RapidAPI, but focused on giving developers full control. Key features: Built-in email/Google login and auth Stripe billing with per-call pricing One-click OpenAPI → MCP conversion Basic usage tracking and observability hooks Auto-generated, SEO-friendly landing pages for your services Whether you’re working with internal APIs, AI agents, or dev tools you want to expose externally, Xpack makes it fast and flexible. Still in early development — feedback, feature suggestions, and use cases are all welcome! GitHub repo: https://github.com/xpack-ai/XPack-MCP-Market

Visit product View on Hacker NewsJul 31, 2025

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

96%96% 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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

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.

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

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

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

40%40% 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

22%22% 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.

Incorrect prediction on native model

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