haniehz
Re:Show HN: Durable cloud hosting for MCP servers
on Tuesday November 11, 2025 @01:06PM (#45890698)
thanks for asking! The MCP server hosts the web assets by either serving them directly (like sending the built React files) or linking to an external web client that hosts them. Once loaded, ChatGPT renders that content inside the chat for users to interact with.
Re:Show HN: Durable cloud hosting for MCP servers
on Tuesday November 11, 2025 @11:59AM (#45889750)
BTW, here's a link to the framework docs: https://docs.mcp-agent.com
Show HN: Durable cloud hosting for MCP servers
https://github.com/Haniehz1/mcp-agent
Hey HN!We built a cloud platform that lets you deploy MCP servers (agents, tools, ChatGPT apps) to production instantly. Think Vercel, but for agents using the Model Context Protocol (MCP).The problem: MCP servers are great locally, but running them in production is a pain. You need hosting, handle auth, manage secrets, deal with long-running processes, and connect everything securely.With...
OpenAI buys AI startup that built interface for Apple computers
Insight-Owned Veeam Agrees to Buy Securiti AI for $1.7B
Re:Show HN: A Deep Research MCP Agent (and pitfalls I hit along the way)
on Wednesday September 10, 2025 @11:53AM (#45199563)
based on the article, it seems like a good reasoning model like gpt5 or opus 4.1 might be good choices for the planner. I wonder if the gpt oss reasoning models would do well
Re:We used ElevenLabs to turn our OSS project docs into music
on Friday August 08, 2025 @03:27PM (#44840733)
pretty soon! I think it's already happening. Just a matter of time for people to adapt.
Re:We used ElevenLabs to turn our OSS project docs into music
on Friday August 08, 2025 @11:55AM (#44838503)
I fed ElevenLabs Music a single prompt about our open-source MCP agent framework and got back a complete song: vocals, instrumentation, arrangement, the works. Zero post-processing.
Here's what caught me off guard: the vocal phrasing. Not just the melody, but the micro-timing, breath placement, and emotional inflection. The model placed emphasis on "composable" in a way that actually reinforced the technical meaning. It added vocal runs that felt intentional, not algorithmic.
Technical details that worked:
Prompt structure: [Genre] [Mood] [Key technical terms] [Narrative structure] Generated: 2:04 track with verse/chorus/bridge structure Quality: Comparable to demo-level indie recordings
What this means: Voice synthesis was the laggard in generative AI. That's changing rapidly. We're moving from "impressive for AI" to "actually usable in production workflows." Non-English limitations: I tested it with different languages and hit a wall — very patchy results, nowhere near the English quality. Anyone have experience with non-English lyrics? Curious about phoneme handling across languages.
The gap between human and AI musical performance is shrinking faster than I expected. Worth paying attention to.
We used ElevenLabs to turn our OSS project docs into music
LLM Inference Benchmark Hub
Re:Ask HN: Have recent AI breakthroughs made you question existence of...
on Wednesday July 30, 2025 @11:14AM (#44735320)
Watching LLMs mimic reasoning so well definitely makes you wonder how much of our own thinking is just pattern prediction with extra steps.
Re:Sick of Google News so built my own news aggregator
on Wednesday July 30, 2025 @11:12AM (#44735289)
How are you thinking about scaling topic and source curation without turning into another aggregator that makes assumptions for the user?
Re:Show HN: I built an AI agent that helps me invest
on Monday July 28, 2025 @12:13PM (#44712258)
Great question and those are solid tools! Where this differs is the orchestration. Instead of switching tabs or manually checking five sources, this bundles everything into one interactive, LLM-assisted report, plus it remembers your preferences, investment style, and context. You can even swap out GPT for a local model if you’re privacy-conscious or budget-sensitive.
Re:Show HN: I built an AI agent that helps me invest
on Monday July 28, 2025 @12:10PM (#44712230)
I didn’t build this to beat the market...it started as a way to reduce my own decision fatigue and make sure I wasn’t missing obvious signals. That said, it’s more of a research agent than a trading bot. For ROI, it’s not auto-trading, but it has helped me avoid a few bad calls and made my reports more consistent and thorough.
Show HN: I built an AI agent that helps me invest
https://github.com/lastmile-ai/mcp-agent/tree/main/examples/usecases/mcp_realtor_agent
A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going.Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable...
Re:Faster, easier 2D vector rendering [video]
on Tuesday June 10, 2025 @04:07PM (#44240913)
Very nice.
Re:Productivity apps won't disappear, just the need to open them will
on Friday May 30, 2025 @04:48PM (#44139749)
I think big orgs are just going to start building their tools in house!
Re:Productivity apps won't disappear, just the need to open them will
on Friday May 30, 2025 @04:42PM (#44139708)
Thanks, I'll go check it out! But, totally agree. The idea of spinning up personal apps on demand is a huge shift. Why download, install, and learn a tool when you can just ask for what you need and get it instantly?
Productivity apps won't disappear, just the need to open them will
There’s a quiet but profound shift happening in how we interact with software. Agent frameworks like mcp-agent, Superblocks, and Lovable are starting to erode the need for traditional UI-based productivity tools—not by replacing them, but by automating around them.Instead of opening Notion, Figma, or Asana to perform a task, developers are chaining agent workflows that handle it directly:• Need...