Live market data, signals, positions, and macro analysis for crypto, KR stocks, and US stocks.
The context layer for financial AI. Your AI agent shouldn't just see prices — it should understand what regime the market is in, which signals are actually working right now, and how macro flows down to individual assets. OneQAZ provides this as a single MCP endpoint. Crypto, US stocks, Korean stocks. 1,100+ symbols. 24/7 live. Keywords: MCP, trading, signals, market analysis, regime, portfolio,…
Inferred from the transports this listing declares (stdio, streamable-http). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.
Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.
Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.
The context layer for financial AI. Your AI agent shouldn't just see prices — it should understand what regime the market is in, which signals are actually working right now, and how macro flows down to individual assets. OneQAZ provides this as a single MCP endpoint. Crypto, US stocks, Korean stocks. 1,100+ symbols. 24/7 live. Keywords: MCP, trading, signals, market analysis, regime, portfolio, sentiment, technical analysis, crypto, stocks, Fear & Greed, cross-market, Claude, model context…
Forge's dependency resolver reads npm metadata only, so this PyPI package has no resolved tree. That is a gap in coverage, not a clean bill of health.