taiwan-stock-mcp
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- FlicenseNot gradedqualityDmaintenanceProvides Taiwan stock market data through FinMind v4 API, including daily OHLCV, monthly revenue, institutional investors, margin trading, dividends, and financial statements. Enables MCP clients like ChatGPT or Codex to query Taiwan financial datasets via simple tools.-
- AlicenseAqualityAmaintenanceWraps Taiwan Stock Exchange OpenAPI into MCP tools for searching datasets, fetching stock data, and obtaining ETF snapshots, enabling AI models to access TWSE market information.523 npm3MIT
- AlicenseBqualityDmaintenanceProvides real-time access to Taiwan Stock Exchange market data, financial reports, and trading analytics. It enables users to query stock prices, market indices, and corporate profitability metrics through natural language.2223 npm7MIT
- FlicenseNot gradedqualityCmaintenanceProvides Claude with free stock-market data including quotes, fundamentals, history, news, index top-10 rankings, market movers, and penny-stock screens using public sources like Yahoo Finance and Wikipedia. No API keys or subscriptions required.-
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools spanning stocks, ETFs, crypto, forex, commodities, and economics. Supports dynamic, static, or full toolset loading over HTTP/SSE for Claude and other MCP clients.332 npmApache 2.0
- AlicenseAqualityBmaintenanceEnables Claude or any MCP host to access live market data—quotes, history, technical indicators, and NYSE status—and answer natural-language questions about stocks.4MIT
TDQS
Scored across 4 tools
Each tool targets a distinct data slice: realtime quote, end-of-day ranking, valuation screening, and revenue. The three ranking/screening tools share similar filter-and-sort semantics, so an agent could momentarily confuse scan_market with screen_valuation, but descriptions make the differing datasets and sort keys clear.
All four tools follow a consistent snake_case verb_noun pattern (get_quote, scan_market, screen_valuation, get_monthly_revenue). The varying verbs (get/scan/screen) are meaningful rather than arbitrary, matching each operation's nature.
Four tools is on the lean side but within a sensible range, and each tool is dense (multiple modes such as get-or-rank in get_monthly_revenue). The set is well-scoped, though a couple of tools carry two behaviors that could arguably be split.
The surface covers snapshot pricing, screening, valuation, and revenue, but lacks obvious adjacent capabilities like historical price series, company profiles/industry listings, or financial statements. For a stock-data server, the absence of any time-series retrieval is a notable gap agents cannot work around.