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31 Tools A Shares HK US Futures

⚡ Quick Start

pip install mcp-markets

# Mode 1: Run as an MCP Server (for Claude / Codex / Cursor)
python -m mcp_finance.server

# Mode 2: Launch the built-in Web Dashboard
mcp-dashboard              # default http://localhost:8080

Python 3.10+ · MCP Python SDK 2.x · Zero config · Optional TUSHARE_TOKEN env var for advanced fundamentals


✨ Capabilities at a Glance

Module Capability Highlight
📈 Real-time Quotes A-Share / HK / US / Futures / Indices easy-tdx millisecond-level with tri-source fallback
📊 K-line Data Daily / Weekly / Monthly / Minute bars, adj. 800 bars for A-shares, yfinance fallback for HK/US
🔬 Technical Analysis MA·MACD·KDJ·RSI·BOLL·WR·BIAS Auto-detect golden/dead cross & overbought/oversold
🔍 Stock Screener 11-dimension filter + 5-factor ranking Momentum · Value · Quality · Growth · Volatility
🧪 Backtesting 9 strategies + parameter optimization Backtrader event-driven, 125× performance boost
💼 Portfolio Multi-stock comparison + correlation + portfolio backtest Equal-weight or custom weights
🏢 Fundamentals Financials / Holdings / Research / Dragon-Tiger AKShare + Tushare dual source
🖥️ Web Dashboard Flask real-time dashboard Plotly + ECharts interactive charts

🏗️ Four-Source Architecture

graph LR
    A["📡 Data Sources"] --> B["⚡ easy-tdx<br/>TDX TCP · <50ms"]
    A --> C["🌐 AKShare<br/>Sina / THS / EastMoney"]
    A --> D["🌍 yfinance<br/>Yahoo Finance Fallback"]
    A --> E["📈 Tushare<br/>Deep Fundamentals · Token"]

    B --> F["🔧 31 MCP Tools"]
    C --> F
    D --> F
    E --> F

    F --> G["📈 Quotes<br/>Real-time · Batch · K-line"]
    F --> H["🔬 Technical<br/>MA·MACD·KDJ·RSI·BOLL"]
    F --> I["📋 Screening<br/>Conditional · 5-Factor"]
    F --> J["⚙️ Backtest<br/>9 Strategies · Bayesian Opt"]
    F --> K["📊 Portfolio<br/>Comparison · Correlation"]
    F --> L["🏢 Fundamentals<br/>Financials · Research · Flow"]
    F --> M["🖥️ Dashboard<br/>Flask Web · Live Refresh"]

    style A fill:#1e1b4b,stroke:#6366f1,color:#fff
    style F fill:#0f172a,stroke:#334155,color:#fff
    style G fill:#312e81,color:#fff
    style H fill:#312e81,color:#fff
    style I fill:#312e81,color:#fff
    style J fill:#312e81,color:#fff
    style K fill:#312e81,color:#fff
    style L fill:#312e81,color:#fff
    style M fill:#be185d,color:#fff

🎯 All 31 MCP Tools

Quotes & Market Data

Tool Description Data Source Latency
get_realtime_quote Single-stock real-time quote (price / change / volume ratio / turnover) easy-tdx → AKShare → yfinance < 100ms
batch_quotes Batch real-time quotes for multiple stocks easy-tdx < 1s / batch
get_kline Daily / Weekly / Monthly K-line with forward/backward adjust easy-tdx (A) / AKShare+yfinance (HK/US) < 500ms
get_minute_kline 1/5/15/30/60 minute K-line (A-shares only) easy-tdx < 200ms
get_market_indices A-share / HK / US market indices easy-tdx → AKShare < 500ms
get_futures_list China commodity & index futures main contracts AKShare Sina ~1s
search_stock Fuzzy search by code or name Local mapping Instant

Technical Analysis

Tool Description
get_technical_indicators MA·MACD·KDJ·RSI·BOLL·WR·BIAS + auto signal detection
plot_kline Interactive candlestick HTML with moving averages, volume, MACD/KDJ/RSI sub-charts

Screening & Analysis

Tool Description
stock_screener 11-dimension conditional screening (change / volume ratio / turnover / PE / PB / ROE / market cap…)
factor_screener 5-factor composite scoring & ranking (momentum · value · quality · growth · volatility)
analyze_stock One-stop stock analysis report (quote + technicals + financials + score 0-100)
compare_stocks Multi-stock comparison ranked by score
correlation_matrix Return correlation matrix for diversification

Backtesting & Optimization

Tool Description Strategies
backtest_strategy Single-stock strategy backtest MA Cross · MACD · RSI · KDJ · BOLL · Turtle · Vol Trend · Mean Reversion · Custom Combo
optimize_strategy Grid search / Optuna TPE Bayesian optimization Auto-pruning + parameter importance
walk_forward Walk-Forward out-of-sample validation Rolling train/test · overfitting assessment
monte_carlo_test Monte Carlo robustness test Return reshuffling · probability and drawdown distributions
portfolio_backtest Multi-stock portfolio backtest Custom weights / equal weight

Market Intelligence

Tool Description
get_sector_ranking Industry / Concept / Region sector rankings
get_north_flow North/South-bound capital flow (Stock Connect)
get_fund_flow Individual stock fund flow (easy-tdx millisecond-level)
get_dragon_tiger Dragon & Tiger list (broker buy/sell details)
get_block_trades Block trade details
get_margin_trading Margin trading & short selling data
get_macro_data China macroeconomics (GDP / CPI / PMI / M2 / FX reserves)

Fundamentals

Tool Description
get_financials 5 categories, 19+ indicators (core / profitability / growth / risk / operations)
get_institutional_holdings Top 10 shareholders & institutional holdings
get_research_reports Analyst research reports (ratings + price targets)
comparison_chart Multi-stock normalized comparison chart (interactive HTML)
test_data_sources One-click diagnostic of all data source availability

🖥️ Web Dashboard

Built-in Flask dashboard that visualizes all MCP tool capabilities.

mcp-dashboard              # http://localhost:8080
mcp-dashboard 3000         # custom port
mcp-dashboard --host 0.0.0.0  # explicitly allow LAN access
Page Route Features
Market Overview / Indices · Hot stocks · Sector rankings · North flow · K-line lookup · Search
Screener /screener 5-factor ranking + 11-dimension conditional screening
Backtest /backtest 9 strategies · Grid / Bayesian optimization · Walk-Forward · Monte Carlo (Dashboard and MCP)

Responsive layout · Plotly / ECharts interactive charts · Live quote refresh


🔌 MCP Client Setup

Claude Desktop
{
  "mcpServers": {
    "mcp-finance": {
      "command": "python",
      "args": ["-m", "mcp_finance.server"]
    }
  }
}
Codex
codex mcp add mcp-finance -- python -m mcp_finance.server
Cursor / VS Code
{
  "mcpServers": {
    "mcp-finance": {
      "type": "stdio",
      "command": "python",
      "args": ["-m", "mcp_finance.server"]
    }
  }
}

Optional: Tushare fundamentals — Set TUSHARE_TOKEN=your_token env var. Register free. Falls back gracefully without it.


🧪 Development & Testing

git clone https://github.com/ojkkk/mcp-finance.git
cd mcp-finance
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Lint
ruff check mcp_finance/

🌟 AI Conversation Examples

Scenario Natural Language Query
Quote "What's the price of Moutai (600519)?" / "How are Tencent HK and Apple US doing today?"
Technical "Is Moutai's MACD golden cross? What's the RSI?"
Screening "Find A-shares up >3%, volume ratio >1.5, PE <30" / "Top 20 by 5-factor ranking"
Backtest "Backtest MA cross (5,20) on Moutai for 2024" / "Find the best MACD params for Moutai"
Portfolio "Backtest equal-weight portfolio of Moutai + CATL + CMB for the past year"
Analysis "Give me a comprehensive analysis of Moutai" / "Compare Moutai, Wuliangye, Luzhou Laojiao"
Macro "Show me recent China CPI data" / "What is north-bound capital buying recently?"
Research "Latest analyst ratings for Moutai"

⚠️ Disclaimer

This tool is for educational purposes only. All data is for reference and does not constitute investment advice.

  • Data is sourced from third-party public APIs and web scraping, with no guarantee of accuracy, completeness, or timeliness
  • No proprietary data sources; all data depends on easy-tdx (reverse-engineered TDX protocol), AKShare (web scraping), yfinance, and Tushare
  • No commercial data license; personal non-commercial use is acceptable, commercial use carries copyright and compliance risks
  • Backtest results do not predict future performance
  • The author bears no responsibility for any investment losses · Invest at your own risk

📄 License

MIT © mcp-finance

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