stock-analyzer-mcp
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- 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.2219 npm7MIT
- -licenseNot gradedqualityNot gradedmaintenanceProvides real-time stock quotes, technical analysis, and intelligent trading recommendations specifically for the Taiwan stock market. Supports single and multiple stock queries, comparative analysis, and investment decision support through natural language interactions.-

longbridgeofficial
AlicenseBqualityAmaintenanceUS/HK markets — 110 tools: real-time quotes, options, orders, fundamentals, alerts, DCA & portfolio19314Apache 2.0- FlicenseNot gradedqualityAmaintenanceEnables AI agents and backend services to query financial market data and analysis across A-shares, US equities, ETFs, indices, and crypto — covering quotes and K-lines, technical indicators, fundamentals and valuation, money flow, news search, and SEC/China filings. Exposes these as MCP tools plus HTTP API routes with CSV/JSON export designed for code-execution workflows.-
- FlicenseNot gradedqualityBmaintenanceProvides 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.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and regular backends or scripts to access standardized financial market data and analysis across A-shares, US equities, ETFs, indices, and crypto, including technical indicators, fundamentals, money flow, news, filings, and CSV/JSON exports.-
TDQS
Scored across 85 tools
Many tools have overlapping purposes, such as multiple sentiment analysis tools (analyze_sentiment, get_stock_sentiment_v2, get_market_sentiment) and comprehensive analysis tools (get_full_stock_analysis, create_analysis_workflow, research_stock_deep_dive). This makes it difficult for an agent to choose the correct tool.
Most tools follow a consistent verb_noun pattern in snake_case (e.g., add_trade, get_stock_price). However, some tools like monte_carlo_factor_mining and research_stock_deep_dive deviate from this pattern, causing minor inconsistency.
With 85 tools, the server is over-scoped. While it covers a broad domain, many tools could be merged or streamlined. The high count adds unnecessary complexity and makes the server feel like a kitchen sink rather than a focused toolset.
The tool set is remarkably comprehensive, covering stock data, technical analysis, fundamentals, sentiment, backtesting, portfolio management, macros, and more. There are no obvious gaps for stock analysis and portfolio management tasks.