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HPSILab

Quant finance MCP for AI agents, now in the Claude Directory

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New: HPSILab is now listed in the Claude Directory, so you can connect it to Claude in one click. AI agents get price predictions, Monte Carlo simulation, options IV radar and pre-trade risk checks via MCP, a Python SDK and the web platform.

PH · launched Oct 30, 2026 · 1 upvote (top 67%) · 0 views

Niche: model context protocol tools · 465 launches, 13 in the last 7 days ▼ -24% · Explore this niche →

Category and tags
  • Fintech
  • Dev tools
  • Developer
  • AI-native
  • Commercial product
  • Fintech
  • Investing
  • Artificial Intelligence

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More like this: all 465 launches in model context protocol tools →

Could you build this?

Partial The MCP server, Python SDK, and web UI are straightforward to vibe-code. Credible price predictions, options IV surfaces, and pre-trade risk checks depend on quant modeling, licensed market data, and correctness standards that the assistant can't provide alone.

What it would actually take: The architecture would be an MCP server and Python SDK wrapping a backend that pulls market data from licensed feeds (equities, options chains) and runs pricing and risk engines such as Black-Scholes IV solving, Monte Carlo, and VaR or limit checks. The hard parts are the quant models, validated backtests, and accurate low-latency options data, which need quantitative finance expertise and paid data subscriptions. Regulatory and disclaimer considerations also apply if the product is presented as trading advice or risk control.

Competitors

Other products that read as similar to this one : 182 launches clear the similarity bar, closest 8 shown.

Attention rank: #114 of 183 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 360 days after the earliest competitor.

Related data

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.