Traders and developers using LLMs have to manually fetch, copy-paste, and aggregate SEC filings and options data because LLMs lack direct, token-efficient access to granular financial data.
target user
Financial analysts, algorithmic traders, and developers building AI financial agents.
existing workaround
Manually copy-pasting text from SEC EDGAR into LLM chats, or relying on imprecise web search tools.
solution pitch
An MCP (Model Context Protocol) server that connects LLMs directly to financial data APIs, providing token-optimized tools for SEC filings, options chains, and stock metrics.
mvp scope
An MCP server that exposes tools to search SEC filings and retrieve real-time stock prices using a free financial API.
suggested stack
TypeScript, Model Context Protocol, Node.js, Financial APIs
portfolio value
Showcases cutting-edge AI engineering skills (MCP), API integration, and handling structured financial data.
score breakdown — 51/100
- engagement—28
- pain intensity—100
- willingness to pay—0
- recency—100
- feasibility—80
notes