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  • A
    license
    A
    quality
    C
    maintenance
    Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.
    6
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.
    11
    1
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器,支持盘中即时更新及批量查询。
    25
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
    27
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.
    -
  • A
    license
    C
    quality
    F
    maintenance
    A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
    41
    646
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.
    Apache 2.0
  • F
    license
    Not graded
    quality
    D
    maintenance
    MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables users to query Chinese A-share stock data, including stock basics, historical prices, financial reports, and macroeconomic indicators.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides free Chinese A-share stock data including real-time quotes, historical K-lines, market scanning, and multi-factor stock screening via BaoStock and Sina Finance APIs.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables users to query IPVA (vehicle property tax) data from the official SEFAZ TO source via a read-only MCP tool.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to perform Black-Litterman portfolio optimization with investor views, backtesting, and asset analysis, generating dashboards for visualization.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    悟道数据 Wudao Data 是面向 OpenClaw、Hermes、Claude 和自建 AI Agent 的 A股股票数据 MCP Server,提供市场概览、K线、分时、涨停梯队、板块轮动、资金流向、龙虎榜、研报和盘后复盘等结构化数据工具。它定位为只读数据工具层,用于研究、复盘和市场观察,不执行交易下单。
    11
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables querying real-time China A-share stock and major market index quotes by stock code or Chinese name, with automatic name resolution and dual free data sources.
    MIT