Futu Stock MCP Server

](https://www.python.org) ![License](LICENSE) ![OpenAPI](https://openapi.futunn.com/futu-api-doc/)

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：

拥有富途证券账户并开通OpenAPI权限
安装并运行富途的OpenD网关程序（官方文档）
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：

遵守相关法律法规和富途OpenAPI的使用条款
自行承担使用本项目进行交易的风险
本项目不提供任何投资建议
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

Clone the repository:

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

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"

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

Install dependencies:

# Install in editable mode
uv pip install -e .

(可选) 如需从源码直接运行，通过环境变量配置服务：

export FUTU_HOST=127.0.0.1
export FUTU_PORT=11111

推荐方式：在 MCP 客户端配置文件中使用 env 字段注入，无需创建 .env 文件，见下方 MCP Server 配置章节。

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

找到配置文件位置：

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

添加服务器配置（所有参数均通过 env 字段注入，无需 .env 文件）：

{
  "mcpServers": {
    "futu-stock": {
      "command": "futu-mcp-server",
      "env": {
        "FUTU_HOST": "127.0.0.1",
        "FUTU_PORT": "11111",
        "FUTU_ENABLE_POSITIONS": "1",
        "FUTU_ENABLE_TRADING": "0",
        "FUTU_TRADE_ENV": "SIMULATE",
        "FUTU_SECURITY_FIRM": "FUTUSECURITIES",
        "FUTU_TRD_MARKET": "HK"
      }
    }
  }
}

使用 python 命令启动（适用于源码开发场景）：

{
  "mcpServers": {
    "futu-stock": {
      "command": "python",
      "args": ["-m", "futu_stock_mcp_server.server"],
      "env": {
        "FUTU_HOST": "127.0.0.1",
        "FUTU_PORT": "11111"
      }
    }
  }
}

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

推荐在 MCP 客户端的 env 字段中直接配置，无需 .env 文件：

环境变量	说明	默认值
`FUTU_HOST`	OpenD 地址	`127.0.0.1`
`FUTU_PORT`	OpenD 端口	`11111`
`FUTU_TRADE_ENV`	交易环境 (`SIMULATE`/`REAL`)	`SIMULATE`
`FUTU_SECURITY_FIRM`	券商 (`FUTUSECURITIES`/`FUTUINC`)	`FUTUSECURITIES`
`FUTU_TRD_MARKET`	交易市场 (`HK`/`US`)	`HK`
`FUTU_DEBUG_MODE`	调试日志开关 (`0`/`1`)	`0`

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

` 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())


## Changelog

Latest updates (`2026-03-02`) - v0.1.5:
- **环境变量优先配置**：`FUTU_HOST` / `FUTU_PORT` 现在直接通过 MCP 客户端 `env` 字段注入，无需 `.env` 文件。
- 移除 `python-dotenv` 导入，简化依赖。
- 新增 `python -m` 启动方式的配置示例。

Previous updates (`2026-03-02`) - v0.1.4:
- Added trading MCP tools: `unlock_trade`, `place_order`, `modify_order`, `cancel_order`, `cancel_all_orders`, order/deal query tools, fee/cashflow tools.
- Added position and trade feature switches: `FUTU_ENABLE_POSITIONS`, `FUTU_ENABLE_TRADING`.
- Added official Futu API to MCP mapping doc: [docs/FUTU_API_MCP_COVERAGE.md](docs/FUTU_API_MCP_COVERAGE.md).
- Kept backward compatibility: existing MCP tool names and argument contracts were not changed.

Full history: [CHANGELOG.md](CHANGELOG.md)

## Available API Methods

Full mapping document (official Futu API -> MCP tools): [docs/FUTU_API_MCP_COVERAGE.md](docs/FUTU_API_MCP_COVERAGE.md)

### 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_funds`: Get account funds information
- `get_positions`: Get account positions
- `get_position_list`: Get account positions with filters
- `get_max_power`: Get account buying power
- `get_margin_ratio`: Get margin ratio for a security

### Trading Tools
- `unlock_trade`: Unlock trade operations
- `place_order`: Place order
- `modify_order`: Modify order
- `cancel_order`: Cancel one order
- `cancel_all_orders`: Cancel all cancellable orders
- `get_order_list`: Query current order list
- `get_history_order_list`: Query historical orders
- `get_deal_list`: Query current deals
- `get_history_deal_list`: Query historical deals
- `get_order_fee`: Query order fee details
- `get_acc_cash_flow`: Query cash flow details
- `get_acc_trading_info`: Query trade capability/pre-check

### 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

{ "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.

Futu Stocp MCP Server

快速接入

详细介绍