kabu-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to retrieve Japanese stock quotes, price history, PTS quotes, and symbol lookups from Yahoo! Finance Japan, along with current prices, trading volumes, and valuation metrics across domestic equities, ETFs, REITs, indices, and US stocks.108 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables assistants to retrieve Yahoo Finance data for Japanese and US equities, including quotes, financial statements, key ratios, historical prices, and analyst recommendations.MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to fetch realtime stock quotes, fundamentals, and search for stocks across A-share, Hong Kong, and US markets without requiring API keys.58 npmMIT
- AlicenseBqualityBmaintenanceProvides real-time market data, technical analysis, screeners, and backtesting for stocks, crypto, forex, and futures across global exchanges, enabling AI assistants to fetch quotes, indicators, and strategy results via natural language.371MIT
- FlicenseCqualityBmaintenanceEnables AI assistants to access National Stock Exchange of India (NSE) data, including live quotes, market status, indices, option chains, corporate actions, and historical data, through natural language.8241-
- FlicenseNot gradedqualityDmaintenanceProvides AI agents with comprehensive Japanese market intelligence through 27 MCP tools, covering corporate data, macroeconomics, financials, and environmental data from 14 integrated sources.-
TDQS
Scored across 7 tools
Most tools target distinct use cases: single quote, batch quote, historical chart, technical indicators, screening, comparison, and name search. The only mild ambiguities are get_quote/search_stocks both accepting Japanese names and get_chart/technical_analysis both relating to price-derived data, but the descriptions clarify the boundaries.
Names are readable and consistently snake_case, but they mix verb-first patterns like get_quote and search_stocks with noun/adjective-style names like technical_analysis and multi_quote. This makes the action of each tool somewhat less predictable.
Seven tools is a well-scoped count for a market-data MCP. Each tool earns its place, covering quick quotes, discovery, charting, technical analysis, batch portfolios, market screening, and comparison without unnecessary redundancy.
The tool surface covers the core read-only stock analysis workflow: search, quote, chart, indicators, batch quotes, screener, and comparison. Minor gaps like fundamentals, news, or trading actions exist, but agents can complete typical analysis workflows without dead ends.