ashare-screener
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to pull live China A-share market data through 24 tools spanning real-time quotes, K-lines, five-level order books, financials, money flow, dragon-tiger lists, sector and valuation data, convertible bonds, ETFs, IPOs, macro indicators, and factor-based stock screening. Five of the tools work with no API key, while the rest require a paid key.340 npm1MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI clients to search Chinese A-share stocks and fetch real-time quotes, daily K-lines, financial statements with TTM rollups, DCF/PB-ROE valuations, and full Markdown research reports without an API key. Automatically falls back across multiple public data sources so requests keep working when a single endpoint fails.639 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to query A-share market data—including quotes, candlesticks, financial reports, funds, announcements, research, macro, indices, futures, options, and convertible bonds—through 149 MCP tools across 14 layers. It requires no API keys and returns structured data with source and timestamp metadata.2Apache 2.0
- FlicenseNot gradedqualityDmaintenanceProvides real-time quotes, fund flows, and corporate announcements for Chinese A-share stocks. It enables users to search for stocks, analyze financial indicators, and summarize quarterly reports through natural language.-
- AlicenseAqualityDmaintenanceEnables AI assistants to query real-time A-share stock data, including quotes, fund flows, sector flows, and K-line history, without needing an API key.518MIT
- AlicenseNot gradedqualityDmaintenanceEnables users to query Chinese A-share stock data, including stock basics, historical prices, financial reports, and macroeconomic indicators.1MIT
TDQS
Scored across 3 tools
run_screen executes the funnel, latest_results reads stored output, and quote fetches live prices — three clearly distinct actions on distinct targets. No overlap or plausible misselection between them.
All names use lowercase snake_case, which is consistent. However, only run_screen follows a strict verb_noun pattern; latest_results and quote are noun-only, a minor deviation rather than a break in convention.
Three tools is slightly thin for a screener but each earns its place: execute, retrieve results, and live quotes. No redundancy, though one more tool (e.g. parameterized/custom screen) would round it out.
The core loop of run-screen → view-results → quote is covered, but there is no way to customize screen criteria, browse historical runs, or look up stock metadata beyond the quote call. These are notable gaps an agent may need to work around.