pip install -i https://pypi.org/simple --upgrade mcp_query_table
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple --upgrade mcp_query_table

import asyncio

from mcp_query_table import *

async def main() -> None:
    async with BrowserManager(endpoint="http://127.0.0.1:9222", executable_path=None, devtools=True) as bm:
        # 问财需要保证浏览器宽度>768，防止界面变成适应手机
        page = await bm.get_page()
        df = await query(page, '收益最好的200只ETF', query_type=QueryType.ETF, max_page=1, site=Site.THS)
        print(df.to_markdown())
        df = await query(page, '年初至今收益率前50', query_type=QueryType.Fund, max_page=1, site=Site.TDX)
        print(df.to_csv())
        df = await query(page, '流通市值前10的行业板块', query_type=QueryType.Index, max_page=1, site=Site.TDX)
        print(df.to_csv())
        # TODO 东财翻页要提前登录
        df = await query(page, '今日涨幅前5的概念板块;', query_type=QueryType.Board, max_page=3, site=Site.EastMoney)
        print(df)

        output = await chat(page, "1+2等于多少？", provider=Provider.YuanBao)
        print(output)
        output = await chat(page, "3+4等于多少？", provider=Provider.YuanBao, create=True)
        print(output)

        print('done')
        bm.release_page(page)
        await page.wait_for_timeout(2000)

if __name__ == '__main__':
    asyncio.run(main())

{
  "mcpServers": {
    "mcp_query_table": {
      "timeout": 300,
      "command": "D:\\Users\\Kan\\miniconda3\\envs\\py312\\python.exe",
      "args": [
        "-m",
        "mcp_query_table",
        "--format",
        "markdown",
        "--endpoint",
        "http://127.0.0.1:9222",
        "--executable_path",
        "C:\\Program Files\\Google\\Chrome\\Application\\chrome.exe"
      ]
    }
  }
}

python -m mcp_query_table --format markdown --transport sse --port 8000 --endpoint http://127.0.0.1:9222  --user_data_dir "D:\user-data-dir"

{
  "mcpServers": {
    "mcp_query_table": {
      "timeout": 300,
      "url": "http://127.0.0.1:8000/sse"
    }
  }
}

python -m mcp_query_table --format markdown --transport streamable-http --port 8000 --endpoint http://127.0.0.1:9222  --user_data_dir "D:\user-data-dir"

npx @modelcontextprotocol/inspector python -m mcp_query_table --format markdown --endpoint http://127.0.0.1:9222