AkTools MCP Server

AkTools MCP Server

aahl

Provides comprehensive stock and cryptocurrency data analysis for A-shares, Hong Kong, US stocks, and crypto markets. Fetches price history, technical indicators, financial metrics, market overviews, and real-time financial news.

Provides comprehensive stock and cryptocurrency data analysis for A-shares, Hong Kong stocks, US stocks, and crypto markets, including price history, technical indicators, financial metrics, market overview, and real-time financial news.

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What it does

  • Search stocks by company name or keywords
  • Retrieve stock prices and market capitalization
  • Get historical price data with technical indicators
  • Fetch financial reports and key metrics
  • Monitor market overview data like gainers and fund flows
  • Access real-time financial news and updates

Best for

Financial analysts researching Asian and US marketsInvestors tracking stock performance and newsDevelopers building financial applicationsTraders analyzing technical indicators
Covers A-shares, Hong Kong, and US stock marketsMultiple deployment options including DockerReal-time news integration

About AkTools MCP Server

AkTools MCP Server is a community-built MCP server published by aahl that provides AI assistants with tools and capabilities via the Model Context Protocol. AkTools MCP Server — comprehensive stock market data and crypto market data with price history, technical indicators, fi It is categorized under finance, analytics data.

How to install

You can install AkTools MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

AkTools MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

📈 AkTools MCP Server

基于 akshare 的 MCP (Model Context Protocol) 服务器,提供股票、加密货币的数据查询和分析功能。

功能

  • 🔍 股票搜索: 根据股票名称、公司简称等关键词查找股票代码
  • ℹ️ 股票信息: 获取股票的详细信息,包括价格、市值等
  • 📊 市场概况: 获取A股市场的涨停板、龙虎榜、资金流向等
  • 💹 历史价格: 获取股票、加密货币历史价格数据,包含技术分析指标
  • 📰 相关新闻: 获取股票、加密货币相关的最新新闻资讯
  • 💸 财务指标: 支持A股和港美股的财务报告关键指标查询

安装

方式1: uvx

{
  "mcpServers": {
    "aktools": {
      "command": "uvx",
      "args": ["mcp-aktools"],
      "env": {
        # 全部可选
        "OKX_BASE_URL": "https://okx.4url.cn", # OKX地址,如果你的网络环境无法访问okx.com,可通过此选项配置反代地址
        "BINANCE_BASE_URL": "https://bian.4url.cn", # 币安地址,默认: https://www.binance.com
        "NEWSNOW_BASE_URL": "https://newsnow.busiyi.world", # Newsnow接口地址
        "NEWSNOW_CHANNELS": "wallstreetcn-quick,cls-telegraph,jin10", # Newsnow资讯来源
      }
    }
  }
}

方式2: Smithery

需要通过OAuth授权或Smithery key

{
  "mcpServers": {
    "aktools": {
      "url": "https://server.smithery.ai/@aahl/mcp-aktools/mcp" # Streamable HTTP
    }
  }
}

方式3: Docker

mkdir /opt/mcp-aktools
cd /opt/mcp-aktools
wget https://raw.githubusercontent.com/aahl/mcp-aktools/refs/heads/main/docker-compose.yml
docker-compose up -d
{
  "mcpServers": {
    "aktools": {
      "url": "http://0.0.0.0:8808/mcp" # Streamable HTTP
    }
  }
}

快速开始

  • 在线体验: fastmcp.cloud
  • 在线体验: smithery.ai
  • 添加到 Cursor Install MCP Server
  • 添加到 VS Code Install MCP Server
  • 添加到 Cherry Studio Install MCP Server
  • 添加到 Claude Code, 执行命令: claude mcp add aktools -- uvx mcp-aktools
  • 添加到 OpenAI CodeX, 执行命令: codex mcp add aktools -- uvx mcp-aktools

🛠️ 可用工具

个股相关
  • search - 查找股票代码,支持A股、港股、美股
  • stock_info - 获取股票信息
  • stock_prices - 获取股票历史价格
  • stock_indicators_a - A股关键指标
  • stock_indicators_hk - 港股关键指标
  • stock_indicators_us - 美股关键指标
  • trading_suggest - 给出投资建议
A股市场
  • get_current_time - 获取当前时间及A股交易日信息
  • stock_zt_pool_em - A股涨停股池
  • stock_zt_pool_strong_em - A股强势股池
  • stock_lhb_ggtj_sina - A股龙虎榜统计
  • stock_sector_fund_flow_rank - A股概念资金流向
财经资讯
  • stock_news - 获取个股/加密货币相关新闻
  • stock_news_global - 全球财经快讯
加密货币
  • okx_prices - 获取加密货币历史价格
  • okx_loan_ratios - 获取加密货币杠杆多空比
  • okx_taker_volume - 获取加密货币主动买卖情况
  • binance_ai_report - 获取加密货币AI分析报告

README image Link to glama.ai

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