
No-code MCP Gateway for OpenAPI and Database Tools
Convert OpenAPI specs and databases into MCP tools without coding.
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
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Convert OpenAPI specs and databases into MCP tools without coding.
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers

Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

Secure GitHub pull requests with hardware authentication and OTP verification.
jallmann · HN
> want without a PR process that requires hardware authentication or proof of presence Just curious, what do you use for this? I built OTP Guard [1] a few years ago for exactly this problem, although I haven't seen any alternatives in the space. Does GitHub have something built-in now? The original framing was more "local malware compromising your GitHub account" ... it never occurred to me that the malware could be a LLM. I really should update the page. [1] https://otpguard.com

Access free earnings call transcripts or integrate via REST API and MCP server.
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.

Task queue for AI coding agents to request and complete work over MCP protocol.
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP

@Sarakhan49309 https://t.co/QF5vyl5vrj x402 gateway for cybersecurity
@chakaapportal · X
x402 gateway for cybersecurity

Free local-first API client for HTTP, WebSocket, GraphQL, gRPC, MQTT, and more. No account or cloud required.
@HalxDocs · X
Reqit—a fast, local-first API client for developers.

Compare perpetuals funding rates across platforms to identify arbitrage opportunities.
@cryptolfggo · X
用 DAPPOS @dappOS_com 做了一个 Perps DEX 套利网站,也是我人生中做的第一个网站,简直太绝了! 立即发现 Perps DEX 资金费率套利机会: 最近我没撸啥项目,做的比较多的就是在 Perps DEX 之间做一些价差、费率套利,赚点生活费。其实我一直有想法做一个关于 Perps DEX 套利的网站,但又无从下手。 我知道可以借助AI 帮我做网站,但是往常的 Cursor、Claude Code 、Codex 等 AI coding 工具,对于我这个技术白痴来说还是有点困难。直到我刷到 @dappOS_com 关于 Polymarket Agent SOP 的推文,发现用 @xBubble_ai 做一个网站竟然如此简单,用户仅需陈述:构建一个网站,用于跟踪与伊朗相关的 Polymarket 市场和突发动态,xBubble 马上就做出了一个实用性很强的网站来了! 我用同样的操作生成了一个发现 Perps DEX 资金费率套利机会的网站,我不需要亲自解决服务器环境配置、域名解析、API KEY配置等繁琐技术底层,只需要把我的想法告诉 xBubble ,几分钟内就帮我生成了一个关于发现 Perps DEX 资金费率套利机会的网站,网站包括了套利机会、DEX 对比、收益计算器、观察列表和风险说明等栏目,比我想象的更加齐全! 通过这次 DAPPOS Coding 初体验,我真正感受到了 AI 的强大,原来 OPC 经济(一人公司)早已不是停留在概念阶段了。但你还对 AI 不屑一顾,很多人已经利用 AI 创建了自己的一人公司,实现了阶级的跨越。xBubble 帮小团队和个人彻底抹平了技术雇佣成本,让每一个原本无法变现的细分长尾需求,都变成了能够产生暴利现金流的真实生意。 只有你有点子,就立马去行动,说不定下一个利用 AI 实现阶层跨越的就是你!

Free website security scanner checking SSL, headers, and compliance for instant trust scores and AI-guided fixes.
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

Verify mathematical expressions reliably using five independent numeric engines via REST API and MCP.
@UtevR57878 · X
Not vibe-coded, rather AI assisted dev:

Store and share prompts, rules, and context that AI tools like Claude Code, Cursor, and ChatGPT can access via MCP.
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

Check AI-generated outputs for errors and security issues before shipping to production.
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b