agushuju-mcp — 爱股数据 MCP Server
在 Claude Desktop、Cursor 等 MCP 客户端里用自然语言查 A 股/基金/期货数据:
"平安银行最近的日线行情" · "今天涨停的股票有哪些" · "螺纹钢主力合约这个月的走势"
底层封装爱股数据 REST API(复用 agushuju Python SDK), 使用你自己的平台 token——鉴权、限流、计费全部走平台既有体系,与本 Server 无关。
工具清单(首批 12 + 1)
| 工具 | 数据 |
|---|---|
stock_basic |
股票基础信息(名称/行业/上市日期) |
stock_daily |
A 股日线行情 |
stock_daily_basic |
每日指标(换手率/量比/市盈率/市值) |
trade_calendar |
交易日历(SSE/SZSE) |
stock_moneyflow |
个股资金流向(主力/大中小单) |
stock_top_list |
龙虎榜每日明细 |
index_daily |
指数日线 |
fund_daily |
ETF/基金日线 |
futures_daily |
期货日线 |
stock_fina_indicator |
财务指标(EPS/ROE/营收增速) |
stock_limit_list |
每日涨跌停列表 |
stock_stk_limit |
每日涨跌停价格 |
health_check |
服务状态探活 |
参数约定:日期一律 YYYY-MM-DD;代码带交易所后缀(股票 000001.SZ、指数 000001.SH、期货 RB2601.SHF);返回 markdown 表格,默认 10 行、单次最多 50 行,offset 翻页。
安装与配置
1. 获取 token
在 API Key 管理页 创建你的 token。
2. 安装
pip install agushuju-mcp
# 依赖 agushuju SDK 自动从 PyPI 安装
# 开发模式(本仓库源码)
pip install -e sdk/python
pip install -e sdk/mcp
发版:python sdk/publish.py(与 SDK 同流程,自动保证 SDK 先于 MCP 上传)。
3. Claude Desktop 配置
claude_desktop_config.json(Claude Desktop → 设置 → Developer → Edit Config):
{
"mcpServers": {
"agushuju": {
"command": "agushuju-mcp",
"env": {
"AGUSHUJU_TOKEN": "你的token"
}
}
}
}
Windows 下 command 可能需要写 python 可执行文件完整路径,用
python -c "import sys; print(sys.executable)" 查出后配置为:
{
"mcpServers": {
"agushuju": {
"command": "C:\\Users\\你\\...\\python.exe",
"args": ["-m", "agushuju_mcp.server"],
"env": { "AGUSHUJU_TOKEN": "你的token" }
}
}
}
4. Cursor 配置
.cursor/mcp.json:
{
"mcpServers": {
"agushuju": {
"command": "agushuju-mcp",
"env": { "AGUSHUJU_TOKEN": "你的token" }
}
}
}
配置后重启客户端,工具列表出现「爱股数据」即接入成功;先问一句
"查一下服务状态" 跑 health_check 验证链路。
环境变量
| 变量 | 说明 |
|---|---|
AGUSHUJU_TOKEN |
平台 API Key(必填) |
AGUSHUJU_API_BASE |
服务地址,默认 https://www.agushuju.com(本地调试可指 http://127.0.0.1:8181) |
错误排查
| 现象 | 处理 |
|---|---|
| 未设置 AGUSHUJU_TOKEN | 检查 mcpServers 配置的 env 字段 |
| code=401 | token 无效/过期,到 API Key 页重建 |
| code=429 | 触发限流(免费档每接口 200 次/日),见 定价页 |
| 服务不可达 | 用 health_check 探活;查看 服务状态页 |
相关链接
- 接口文档:https://www.agushuju.com/doc
- 定价与限流:https://www.agushuju.com/pricing
- Python SDK:sdk/python
Metadata
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Total release size: 13.5 kB
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