iflow-mcp_shuizhengqi-futu-stock-mcp-server 0.1.8

A Model Context Protocol (MCP) server for accessing Futu OpenAPI functionality

Futu Stock MCP Server

基于模型上下文协议(MCP)的富途证券行情交易接口服务器。将富途OpenAPI功能以标准化的MCP协议提供给AI模型使用，支持行情订阅、数据查询等功能。

🌟 特性

• 🔌 完全兼容 MCP 2.0 协议标准
• 📊 支持港股、美股、A股等市场的实时行情
• 🔄 支持实时数据订阅和推送
• 📈 支持K线、逐笔、买卖盘等多维度数据
• 🔒 安全的API调用和数据访问机制
• 🛠 提供完整的开发工具和示例代码

⚠️ 前置要求

在使用本项目之前，您需要：

1. 拥有富途证券账户并开通OpenAPI权限
2. 安装并运行富途的OpenD网关程序（官方文档）
3. 根据您的需求订阅相应的行情权限

🔒 安全提示

• 请勿在代码中硬编码任何账号密码信息
• 确保.env文件已添加到.gitignore中
• 妥善保管您的API访问凭证
• 遵守富途OpenAPI的使用条款和限制

📝 免责声明

本项目是一个开源工具，旨在简化富途OpenAPI的接入流程。使用本项目时请注意：

1. 遵守相关法律法规和富途OpenAPI的使用条款
2. 自行承担使用本项目进行交易的风险
3. 本项目不提供任何投资建议
4. 使用本项目前请确保您已获得所需的行情权限

Features

• Standard MCP 2.0 protocol compliance
• Comprehensive Futu API coverage
• Real-time data subscription support
• Market data access
• Derivatives information
• Account query capabilities
• Resource-based data access
• Interactive prompts for analysis

Prerequisites

• Python 3.10+
• Futu OpenAPI SDK
• Model Context Protocol SDK
• uv (recommended)

🚀 快速开始

方式一：通过 pipx 安装（推荐）

# 安装 pipx（如果还没有安装）
brew install pipx  # macOS
# 或者 pip install --user pipx  # 其他系统

# 安装包
pipx install futu-stock-mcp-server

# 运行服务器
futu-mcp-server

为什么使用 pipx？

• pipx 专门用于安装 Python 应用程序到全局环境
• 自动管理独立的虚拟环境，避免依赖冲突
• 命令直接可用，无需激活虚拟环境

方式二：通过 Docker 运行

# 拉取镜像
docker pull your-registry/futu-stock-mcp-server:latest

# 运行容器
docker run -d \
  --name futu-mcp-server \
  -p 8000:8000 \
  -e FUTU_HOST=127.0.0.1 \
  -e FUTU_PORT=11111 \
  your-registry/futu-stock-mcp-server:latest

方式三：从源码安装

1. Clone the repository:

git clone https://github.com/yourusername/futu-stock-mcp-server.git
cd futu-stock-mcp-server

2. Install uv:

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

3. Create and activate a virtual environment:

# Create virtual environment
uv venv

# Activate virtual environment
# On macOS/Linux:
source .venv/bin/activate
# On Windows:
.venv\Scripts\activate

4. Install dependencies:

# Install in editable mode
uv pip install -e .

5. Copy the environment file and configure:

cp .env.example .env

Edit the .env file with your server settings:

HOST=0.0.0.0
PORT=8000
FUTU_HOST=127.0.0.1
FUTU_PORT=11111

Development

Managing Dependencies

Add new dependencies to pyproject.toml:

[project]
dependencies = [
    # ... existing dependencies ...
    "new-package>=1.0.0",
]

Then update your environment:

uv pip install -e .

Code Style

This project uses Ruff for code linting and formatting. The configuration is in pyproject.toml:

[tool.ruff]
line-length = 100
target-version = "py38"

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "B", "UP"]

Run linting:

uv pip install ruff
ruff check .

Run formatting:

ruff format .

🔧 MCP Server 配置

在 Claude Desktop 中配置

1. 找到配置文件位置：

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

2. 添加服务器配置：

{
  "mcpServers": {
    "futu-stock": {
      "command": "futu-mcp-server",
      "env": {
        "FUTU_HOST": "127.0.0.1",
        "FUTU_PORT": "11111"
      }
    }
  }
}

3. 故障排除配置： 如果上述配置不工作，可以尝试使用完整路径：

{
  "mcpServers": {
    "futu-stock": {
      "command": "/Users/your-username/.local/bin/futu-mcp-server",
      "env": {
        "FUTU_HOST": "127.0.0.1",
        "FUTU_PORT": "11111"
      }
    }
  }
}

提示：使用 which futu-mcp-server 命令查看完整路径

在其他 MCP 客户端中配置

使用 Python MCP 客户端

from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

async def main():
    server_params = StdioServerParameters(
        command="futu-mcp-server",
        env={
            "FUTU_HOST": "127.0.0.1",
            "FUTU_PORT": "11111"
        }
    )
    
    async with stdio_client(server_params) as (read, write):
        async with ClientSession(read, write) as session:
            # Initialize the connection
            await session.initialize()
            
            # List available tools
            tools = await session.list_tools()
            print("Available tools:", [tool.name for tool in tools.tools])

使用 Node.js MCP 客户端

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

const transport = new StdioClientTransport({
  command: "futu-mcp-server",
  env: {
    FUTU_HOST: "127.0.0.1",
    FUTU_PORT: "11111"
  }
});

const client = new Client({
  name: "futu-stock-client",
  version: "1.0.0"
}, {
  capabilities: {}
});

await client.connect(transport);

📋 使用方法

1. 启动服务器（独立运行）

# 通过 pip 安装后
futu-mcp-server

# 或从源码运行
python -m futu_stock_mcp_server.server

2. 环境变量配置

创建 .env 文件或设置环境变量：

FUTU_HOST=127.0.0.1
FUTU_PORT=11111
LOG_LEVEL=INFO

3. 验证连接

启动服务器后，你应该看到类似的日志：

2024-10-02 14:20:52 | INFO | Initializing Futu connection...
2024-10-02 14:20:52 | INFO | Successfully initialized Futu connection
2024-10-02 14:20:52 | INFO | Starting MCP server in stdio mode...
2024-10-02 14:20:52 | INFO | Press Ctrl+C to stop the server

4. 在 AI 工具中使用

配置完成后，重启 Claude Desktop 或其他 MCP 客户端，你就可以：

• 查询股票实时行情
• 获取历史K线数据
• 订阅股票数据推送
• 查询账户信息
• 执行交易操作（需要交易权限）

🔧 故障排除

常见问题

1. 命令 futu-mcp-server 找不到

# 确保已正确安装
pipx install futu-stock-mcp-server

# 检查命令是否可用
which futu-mcp-server

# 如果还是找不到，检查 PATH
echo $PATH | grep -o '[^:]*\.local/bin[^:]*'

2. Ctrl+C 无法退出服务器

• 新版本已修复此问题
• 如果仍然遇到，可以使用 kill -9 <pid> 强制终止

3. 连接富途 OpenD 失败

# 检查 OpenD 是否运行
netstat -an | grep 11111

# 检查环境变量
echo $FUTU_HOST
echo $FUTU_PORT

4. Claude Desktop 无法识别服务器

• 确保配置文件路径正确
• 检查 JSON 格式是否有效
• 重启 Claude Desktop
• 查看 Claude Desktop 的日志文件

5. 权限问题

# 确保有执行权限
chmod +x ~/.local/bin/futu-mcp-server

# 或者使用完整路径
python -m futu_stock_mcp_server.server

日志调试

本项目已根据 MCP 官方文档 的最佳实践配置了日志系统：

MCP 兼容的日志配置

• 文件日志: 所有日志写入 logs/futu_server.log，自动轮转和清理
• MCP Context 日志: 工具执行期间通过 MCP Context 发送日志给客户端
• stdout 保护: 确保 stdout 仅用于 MCP JSON 通信，避免污染

调试模式（仅开发时使用）

# 启用调试模式（会向 stderr 输出日志）
export FUTU_DEBUG_MODE=1
futu-mcp-server

注意: 在 MCP 客户端中不要启用调试模式，因为它会向 stderr 输出日志。

日志文件位置

• 主日志文件：./logs/futu_server.log
• 自动轮转：500 MB 后轮转
• 自动清理：保留 10 天

详细的日志配置说明请参考 docs/LOGGING.md。 tools = await session.list_tools()

        # Call a tool
        result = await session.call_tool(
            "get_stock_quote",
            arguments={"symbols": ["HK.00700"]}
        )
        
        # Access a resource
        content, mime_type = await session.read_resource(
            "market://HK.00700"
        )
        
        # Get a prompt
        prompt = await session.get_prompt(
            "market_analysis",
            arguments={"symbol": "HK.00700"}
        )

if name == "main": import asyncio asyncio.run(main())

## Available API Methods

### Market Data Tools
- `get_stock_quote`: Get stock quote data
- `get_market_snapshot`: Get market snapshot
- `get_cur_kline`: Get current K-line data
- `get_history_kline`: Get historical K-line data
- `get_rt_data`: Get real-time data
- `get_ticker`: Get ticker data
- `get_order_book`: Get order book data
- `get_broker_queue`: Get broker queue data

### Subscription Tools
- `subscribe`: Subscribe to real-time data
- `unsubscribe`: Unsubscribe from real-time data

### Derivatives Tools
- `get_option_chain`: Get option chain data
- `get_option_expiration_date`: Get option expiration dates
- `get_option_condor`: Get option condor strategy data
- `get_option_butterfly`: Get option butterfly strategy data

### Account Query Tools
- `get_account_list`: Get account list
- `get_asset_info`: Get asset information
- `get_asset_allocation`: Get asset allocation information

### Market Information Tools
- `get_market_state`: Get market state
- `get_security_info`: Get security information
- `get_security_list`: Get security list

### Stock Filter Commands

#### get_stock_filter
Filter stocks based on various conditions.

Parameters:
- `base_filters` (optional): List of basic stock filters
  ```python
  {
      "field_name": int,  # StockField enum value
      "filter_min": float,  # Optional minimum value
      "filter_max": float,  # Optional maximum value
      "is_no_filter": bool,  # Optional, whether to skip filtering
      "sort_dir": int  # Optional, sort direction
  }

• accumulate_filters (optional): List of accumulate filters

  {
      "field_name": int,  # AccumulateField enum value
      "filter_min": float,
      "filter_max": float,
      "is_no_filter": bool,
      "sort_dir": int,
      "days": int  # Required, number of days to accumulate
  }
  

• financial_filters (optional): List of financial filters

  {
      "field_name": int,  # FinancialField enum value
      "filter_min": float,
      "filter_max": float,
      "is_no_filter": bool,
      "sort_dir": int,
      "quarter": int  # Required, financial quarter
  }
  

• market (optional): Market code (e.g. "HK.Motherboard", "US.NASDAQ")
• page (optional): Page number, starting from 1 (default: 1)
• page_size (optional): Number of results per page, max 200 (default: 200)

Supported Market Codes:

• HK.Motherboard: Hong Kong Main Board
• HK.GEM: Hong Kong GEM
• HK.BK1911: H-Share Main Board
• HK.BK1912: H-Share GEM
• US.NYSE: NYSE
• US.AMEX: AMEX
• US.NASDAQ: NASDAQ
• SH.3000000: Shanghai Main Board
• SZ.3000001: Shenzhen Main Board
• SZ.3000004: Shenzhen ChiNext

Example:

# Get stocks with price between 10 and 50 HKD in Hong Kong Main Board
filters = {
    "base_filters": [{
        "field_name": 5,  # Current price
        "filter_min": 10.0,
        "filter_max": 50.0
    }],
    "market": "HK.Motherboard"
}
result = await client.get_stock_filter(**filters)

Notes:

• Limited to 10 requests per 30 seconds
• Each page returns maximum 200 results
• Recommended to use no more than 250 filter conditions
• Maximum 10 accumulate conditions of the same type
• Dynamic data sorting (like current price) may change between pages
• Cannot compare different types of indicators (e.g. MA5 vs EMA10)

Resources

Market Data

• market://{symbol}: Get market data for a symbol
• kline://{symbol}/{ktype}: Get K-line data for a symbol

Prompts

Analysis

• market_analysis: Create a market analysis prompt
• option_strategy: Create an option strategy analysis prompt

Error Handling

The server follows the MCP 2.0 error response format:

{
    "jsonrpc": "2.0",
    "id": "request_id",
    "error": {
        "code": -32000,
        "message": "Error message",
        "data": null
    }
}

Security

• The server uses secure WebSocket connections
• All API calls are authenticated through the Futu OpenAPI
• Environment variables are used for sensitive configuration

Development

Adding New Tools

To add a new tool, use the @mcp.tool() decorator:

@mcp.tool()
async def new_tool(param1: str, param2: int) -> Dict[str, Any]:
    """Tool description"""
    # Implementation
    return result

Adding New Resources

To add a new resource, use the @mcp.resource() decorator:

@mcp.resource("resource://{param1}/{param2}")
async def new_resource(param1: str, param2: str) -> Dict[str, Any]:
    """Resource description"""
    # Implementation
    return result

Adding New Prompts

To add a new prompt, use the @mcp.prompt() decorator:

@mcp.prompt()
async def new_prompt(param1: str) -> str:
    """Prompt description"""
    return f"Prompt template with {param1}"

License

MIT License

Available MCP Functions

Market Data Functions

get_stock_quote

Get stock quote data for given symbols.

symbols = ["HK.00700", "US.AAPL", "SH.600519"]
result = await session.call_tool("get_stock_quote", {"symbols": symbols})

Returns quote data including price, volume, turnover, etc.

get_market_snapshot

Get market snapshot for given symbols.

symbols = ["HK.00700", "US.AAPL", "SH.600519"]
result = await session.call_tool("get_market_snapshot", {"symbols": symbols})

Returns comprehensive market data including price, volume, bid/ask prices, etc.

get_cur_kline

Get current K-line data.

result = await session.call_tool("get_cur_kline", {
    "symbol": "HK.00700",
    "ktype": "K_1M",  # K_1M, K_5M, K_15M, K_30M, K_60M, K_DAY, K_WEEK, K_MON
    "count": 100
})

get_history_kline

Get historical K-line data.

result = await session.call_tool("get_history_kline", {
    "symbol": "HK.00700",
    "ktype": "K_DAY",
    "start": "2024-01-01",
    "end": "2024-03-31"
})

get_rt_data

Get real-time trading data.

result = await session.call_tool("get_rt_data", {"symbol": "HK.00700"})

get_ticker

Get ticker data (detailed trades).

result = await session.call_tool("get_ticker", {"symbol": "HK.00700"})

get_order_book

Get order book data.

result = await session.call_tool("get_order_book", {"symbol": "HK.00700"})

get_broker_queue

Get broker queue data.

result = await session.call_tool("get_broker_queue", {"symbol": "HK.00700"})

Subscription Functions

subscribe

Subscribe to real-time data.

result = await session.call_tool("subscribe", {
    "symbols": ["HK.00700", "US.AAPL"],
    "sub_types": ["QUOTE", "TICKER", "K_1M"]
})

Subscription types:

• "QUOTE": Basic quote
• "ORDER_BOOK": Order book
• "TICKER": Trades
• "RT_DATA": Real-time data
• "BROKER": Broker queue
• "K_1M" to "K_MON": K-line data

unsubscribe

Unsubscribe from real-time data.

result = await session.call_tool("unsubscribe", {
    "symbols": ["HK.00700", "US.AAPL"],
    "sub_types": ["QUOTE", "TICKER"]
})

Options Functions

get_option_chain

Get option chain data.

result = await session.call_tool("get_option_chain", {
    "symbol": "HK.00700",
    "start": "2024-04-01",
    "end": "2024-06-30"
})

get_option_expiration_date

Get option expiration dates.

result = await session.call_tool("get_option_expiration_date", {
    "symbol": "HK.00700"
})

get_option_condor

Get option condor strategy data.

result = await session.call_tool("get_option_condor", {
    "symbol": "HK.00700",
    "expiry": "2024-06-30",
    "strike_price": 350.0
})

get_option_butterfly

Get option butterfly strategy data.

result = await session.call_tool("get_option_butterfly", {
    "symbol": "HK.00700",
    "expiry": "2024-06-30",
    "strike_price": 350.0
})

Account Functions

get_account_list

Get account list.

result = await session.call_tool("get_account_list", {"random_string": "dummy"})

get_funds

Get account funds information.

result = await session.call_tool("get_funds", {"random_string": "dummy"})

get_positions

Get account positions.

result = await session.call_tool("get_positions", {"random_string": "dummy"})

get_max_power

Get maximum trading power.

result = await session.call_tool("get_max_power", {"random_string": "dummy"})

get_margin_ratio

Get margin ratio for a security.

result = await session.call_tool("get_margin_ratio", {"symbol": "HK.00700"})

Market Information Functions

get_market_state

Get market state.

result = await session.call_tool("get_market_state", {"market": "HK"})

Available markets: "HK", "US", "SH", "SZ"

get_security_info

Get security information.

result = await session.call_tool("get_security_info", {
    "market": "HK",
    "code": "00700"
})

get_security_list

Get security list for a market.

result = await session.call_tool("get_security_list", {"market": "HK"})

get_stock_filter

Get filtered stock list based on conditions.

result = await session.call_tool("get_stock_filter", {
    "market": "HK.Motherboard",
    "base_filters": [{
        "field_name": 1,  # Price
        "filter_min": 10.0,
        "filter_max": 50.0,
        "sort_dir": 1  # Ascending
    }],
    "page": 1,
    "page_size": 50
})

Time Function

get_current_time

Get current server time.

result = await session.call_tool("get_current_time", {"random_string": "dummy"})

Returns timestamp, formatted datetime, date, time and timezone.