├── .python-version ├── images ├── claude_mcp.png └── cursor_mcp.png ├── .gitignore ├── pyproject.toml ├── LICENSE ├── README.md ├── main.py └── uv.lock /.python-version: -------------------------------------------------------------------------------- 1 | 3.11 2 | -------------------------------------------------------------------------------- /images/claude_mcp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/liqiongyu/xueqiu_mcp/HEAD/images/claude_mcp.png -------------------------------------------------------------------------------- /images/cursor_mcp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/liqiongyu/xueqiu_mcp/HEAD/images/cursor_mcp.png -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Python-generated files 2 | __pycache__/ 3 | *.py[oc] 4 | build/ 5 | dist/ 6 | wheels/ 7 | *.egg-info 8 | 9 | # Virtual environments 10 | .venv 11 | .env 12 | 3rdparty/ -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "xueqiu-mcp" 3 | version = "0.1.0" 4 | description = "Add your description here" 5 | readme = "README.md" 6 | requires-python = ">=3.11" 7 | dependencies = [ 8 | "fastmcp>=2.1.2", 9 | "pysnowball>=0.1.3", 10 | ] 11 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2025 李琼羽 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Xueqiu MCP 2 | 3 | 基于雪球API的MCP服务，让您通过Claude或其他AI助手轻松获取股票数据。 4 | 5 | ## 项目简介 6 | 7 | 本项目基于[pysnowball](https://github.com/uname-yang/pysnowball)封装了雪球API，并通过MCP协议提供服务，使您能够在Claude等AI助手中直接查询股票数据。 8 | 9 | ## 安装方法 10 | 11 | 本项目使用`uv`进行依赖管理。请按照以下步骤进行安装： 12 | 13 | ```bash 14 | # 克隆仓库 15 | git clone https://github.com/liqiongyu/xueqiu_mcp.git 16 | cd xueqiu_mcp 17 | 18 | # 使用uv安装依赖 19 | uv venv && uv pip install -e . 20 | ``` 21 | 22 | ## 配置 23 | 24 | ### 配置雪球Token 25 | 26 | 1. 在项目根目录创建`.env`文件 27 | 2. 添加以下内容： 28 | 29 | ``` 30 | XUEQIU_TOKEN=您的雪球token 31 | ``` 32 | 33 | * 快捷方式： 34 | 35 | ```bash 36 | echo 'XUEQIU_TOKEN="xq_a_token=xxxxx;u=xxxx"' > .env 37 | ``` 38 | 39 | 关于如何获取雪球token，请参考[pysnowball文档](https://github.com/uname-yang/pysnowball/blob/master/how_to_get_token.md)。 40 | 41 | ## 运行服务 42 | 43 | 使用以下命令启动MCP服务： 44 | 45 | ```bash 46 | uv --directory /path/to/xueqiu_mcp run main.py 47 | ``` 48 | 49 | 或者，如果您已经配置了Claude Desktop： 50 | 51 | ```json 52 | "xueqiu-mcp": { 53 | "args": [ 54 | "--directory", 55 | "/path/to/xueqiu_mcp", 56 | "run", 57 | "main.py" 58 | ], 59 | "command": "uv" 60 | } 61 | ``` 62 | 63 | ## 功能特性 64 | 65 | - 获取股票实时行情 66 | - 查询指数收益 67 | - 获取深港通/沪港通北向数据 68 | - 基金相关数据查询 69 | - 关键词搜索股票代码 70 | 71 | ## 展示图 72 | 73 | ![image](./images/cursor_mcp.png) 74 | 75 | ![image](./images/claude_mcp.png) 76 | 77 | ## 致谢 78 | 79 | - [pysnowball](https://github.com/uname-yang/pysnowball) - 雪球股票数据接口的Python版本 80 | - [fastmcp](https://github.com/fastmcp) - MCP服务框架 81 | 82 | ## 许可证 83 | 84 | [MIT License](./LICENSE) -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | import os 2 | import pysnowball as ball 3 | from fastmcp import FastMCP 4 | from dotenv import load_dotenv 5 | import datetime 6 | import json 7 | 8 | load_dotenv() 9 | ball.set_token(os.getenv("XUEQIU_TOKEN")) 10 | 11 | mcp = FastMCP(name="Xueqiu MCP") 12 | 13 | 14 | def convert_timestamps(data): 15 | """递归地将数据中的所有 timestamp 转换为 datetime 字符串""" 16 | if isinstance(data, dict): 17 | for key, value in list(data.items()): 18 | if key == 'timestamp' and isinstance(value, (int, float)) and value > 1000000000000: # 毫秒级时间戳 19 | data[key] = datetime.datetime.fromtimestamp(value/1000).strftime('%Y-%m-%d %H:%M:%S') 20 | elif key == 'timestamp' and isinstance(value, (int, float)) and value > 1000000000: # 秒级时间戳 21 | data[key] = datetime.datetime.fromtimestamp(value).strftime('%Y-%m-%d %H:%M:%S') 22 | elif key.endswith('_date') and isinstance(value, (int, float)) and value > 1000000000000: # 毫秒级时间戳 23 | data[key] = datetime.datetime.fromtimestamp(value/1000).strftime('%Y-%m-%d %H:%M:%S') 24 | elif key.endswith('_date') and isinstance(value, (int, float)) and value > 1000000000: # 秒级时间戳 25 | data[key] = datetime.datetime.fromtimestamp(value).strftime('%Y-%m-%d %H:%M:%S') 26 | elif isinstance(value, (dict, list)): 27 | data[key] = convert_timestamps(value) 28 | elif isinstance(data, list): 29 | for i, item in enumerate(data): 30 | data[i] = convert_timestamps(item) 31 | return data 32 | 33 | 34 | def process_data(data, process_config=None): 35 | """ 36 | 通用数据处理函数，可扩展添加各种数据处理操作 37 | 38 | Args: 39 | data: 原始数据 40 | process_config: 处理配置字典，用于指定要执行的处理操作 41 | 例如: {'convert_timestamps': True, 'other_process': params} 42 | 43 | Returns: 44 | 处理后的数据 45 | """ 46 | if process_config is None: 47 | # 默认配置 48 | process_config = { 49 | 'convert_timestamps': True 50 | } 51 | 52 | # 如果开启了时间戳转换 53 | if process_config.get('convert_timestamps', True): 54 | data = convert_timestamps(data) 55 | 56 | # 在这里可以添加更多的数据处理逻辑 57 | # 例如: 58 | # if 'format_numbers' in process_config: 59 | # data = format_numbers(data, **process_config['format_numbers']) 60 | 61 | return data 62 | 63 | 64 | @mcp.tool() 65 | def quotec(stock_code: str="SZ000002") -> dict: 66 | """获取某支股票的行情数据""" 67 | result = ball.quotec(stock_code) 68 | return process_data(result) 69 | 70 | 71 | @mcp.tool() 72 | def quote_detail(stock_code: str="SZ000002") -> dict: 73 | """获取某支股票的行情数据-详细""" 74 | result = ball.quote_detail(stock_code) 75 | return process_data(result) 76 | 77 | 78 | @mcp.tool() 79 | def pankou(stock_code: str="SZ000002") -> dict: 80 | """获取实时分笔数据，可以实时取得股票当前报价和成交信息""" 81 | result = ball.pankou(stock_code) 82 | return process_data(result) 83 | 84 | 85 | @mcp.tool() 86 | def kline(stock_code: str="SZ000002", days: int = 100) -> dict: 87 | """获取K线数据。第二参数可制定从现在到N天前，默认100""" 88 | result = ball.kline(stock_code, days) 89 | return process_data(result) 90 | 91 | 92 | @mcp.tool() 93 | def earningforecast(stock_code: str="SZ000002") -> dict: 94 | """按年度获取业绩预告数据""" 95 | result = ball.earningforecast(stock_code) 96 | return process_data(result) 97 | 98 | 99 | @mcp.tool() 100 | def report(stock_code: str="SZ000002") -> dict: 101 | """获取机构评级数据""" 102 | result = ball.report(stock_code) 103 | return process_data(result) 104 | 105 | 106 | @mcp.tool() 107 | def capital_flow(stock_code: str="SZ000002") -> dict: 108 | """获取当日资金流如流出数据，每分钟数据""" 109 | result = ball.capital_flow(stock_code) 110 | return process_data(result) 111 | 112 | 113 | @mcp.tool() 114 | def capital_history(stock_code: str="SZ000002") -> dict: 115 | """获取历史资金流如流出数据，每日数据""" 116 | result = ball.capital_history(stock_code) 117 | return process_data(result) 118 | 119 | 120 | @mcp.tool() 121 | def capital_assort(stock_code: str="SZ000002") -> dict: 122 | """获取资金成交分布数据""" 123 | result = ball.capital_assort(stock_code) 124 | return process_data(result) 125 | 126 | 127 | @mcp.tool() 128 | def blocktrans(stock_code: str="SZ000002") -> dict: 129 | """获取大宗交易数据""" 130 | result = ball.blocktrans(stock_code) 131 | return process_data(result) 132 | 133 | 134 | @mcp.tool() 135 | def margin(stock_code: str="SZ000002") -> dict: 136 | """获取融资融券数据""" 137 | result = ball.margin(stock_code) 138 | return process_data(result) 139 | 140 | 141 | @mcp.tool() 142 | def indicator(stock_code: str="SZ000002", is_annals: int = 1, count: int = 5) -> dict: 143 | """按年度、季度获取业绩报表数据 144 | 145 | Args: 146 | stock_code: 股票代码 147 | is_annals: 只获取年报,默认为1 148 | count: 返回数据数量,默认5条 149 | """ 150 | result = ball.indicator(symbol=stock_code, is_annals=is_annals, count=count) 151 | return process_data(result) 152 | 153 | 154 | @mcp.tool() 155 | def income(stock_code: str="SZ000002", is_annals: int = 1, count: int = 5) -> dict: 156 | """获取利润表数据 157 | 158 | Args: 159 | stock_code: 股票代码 160 | is_annals: 只获取年报,默认为1 161 | count: 返回数据数量,默认5条 162 | """ 163 | result = ball.income(symbol=stock_code, is_annals=is_annals, count=count) 164 | return process_data(result) 165 | 166 | 167 | @mcp.tool() 168 | def balance(stock_code: str="SZ000002", is_annals: int = 1, count: int = 5) -> dict: 169 | """获取资产负债表数据 170 | 171 | Args: 172 | stock_code: 股票代码 173 | is_annals: 只获取年报,默认为1 174 | count: 返回数据数量,默认5条 175 | """ 176 | result = ball.balance(symbol=stock_code, is_annals=is_annals, count=count) 177 | return process_data(result) 178 | 179 | 180 | @mcp.tool() 181 | def cash_flow(stock_code: str="SZ000002", is_annals: int = 1, count: int = 5) -> dict: 182 | """获取现金流量表数据 183 | 184 | Args: 185 | stock_code: 股票代码 186 | is_annals: 只获取年报,默认为1 187 | count: 返回数据数量,默认5条 188 | """ 189 | result = ball.cash_flow(symbol=stock_code, is_annals=is_annals, count=count) 190 | return process_data(result) 191 | 192 | 193 | @mcp.tool() 194 | def business(stock_code: str="SZ000002", count: int = 5) -> dict: 195 | """获取主营业务构成数据 196 | 197 | Args: 198 | stock_code: 股票代码 199 | count: 返回数据数量,默认5条 200 | """ 201 | result = ball.business(symbol=stock_code, count=count) 202 | return process_data(result) 203 | 204 | 205 | @mcp.tool() 206 | def top_holders(stock_code: str="SZ000002", circula: int = 1) -> dict: 207 | """获取十大股东数据 208 | 209 | Args: 210 | stock_code: 股票代码 211 | circula: 只获取流通股,默认为1 212 | """ 213 | result = ball.top_holders(symbol=stock_code, circula=circula) 214 | return process_data(result) 215 | 216 | 217 | @mcp.tool() 218 | def main_indicator(stock_code: str="SZ000002") -> dict: 219 | """获取F10主要指标数据""" 220 | result = ball.main_indicator(stock_code) 221 | return process_data(result) 222 | 223 | 224 | @mcp.tool() 225 | def holders(stock_code: str="SZ000002") -> dict: 226 | """获取F10股东人数数据""" 227 | result = ball.holders(stock_code) 228 | return process_data(result) 229 | 230 | 231 | @mcp.tool() 232 | def org_holding_change(stock_code: str="SZ000002") -> dict: 233 | """获取F10机构持仓数据""" 234 | result = ball.org_holding_change(stock_code) 235 | return process_data(result) 236 | 237 | 238 | @mcp.tool() 239 | def bonus(stock_code: str="SZ000002", page: int = 1, size: int = 10) -> dict: 240 | """获取F10分红融资数据 241 | 242 | Args: 243 | stock_code: 股票代码 244 | page: 第几页 默认1 245 | size: 每页含有多少数据 默认10 246 | """ 247 | result = ball.bonus(stock_code, page=page, size=size) 248 | return process_data(result) 249 | 250 | 251 | @mcp.tool() 252 | def industry_compare(stock_code: str="SZ000002") -> dict: 253 | """获取F10行业对比数据""" 254 | result = ball.industry_compare(stock_code) 255 | return process_data(result) 256 | 257 | 258 | @mcp.tool() 259 | def watch_list() -> dict: 260 | """获取用户自选列表""" 261 | result = ball.watch_list() 262 | return process_data(result) 263 | 264 | 265 | @mcp.tool() 266 | def watch_stock(pid: int) -> dict: 267 | """获取用户自选列表详情 268 | 269 | Args: 270 | pid: 自选列表ID 271 | """ 272 | result = ball.watch_stock(pid) 273 | return process_data(result) 274 | 275 | 276 | @mcp.tool() 277 | def nav_daily(cube_symbol: str="SZ000002") -> dict: 278 | """获取组合净值数据 279 | 280 | Args: 281 | cube_symbol: 组合代码 282 | """ 283 | result = ball.nav_daily(cube_symbol) 284 | return process_data(result) 285 | 286 | 287 | @mcp.tool() 288 | def rebalancing_history(cube_symbol: str="SZ000002") -> dict: 289 | """获取组合历史交易信息 290 | 291 | Args: 292 | cube_symbol: 组合代码 293 | """ 294 | result = ball.rebalancing_history(cube_symbol) 295 | return process_data(result) 296 | 297 | 298 | @mcp.tool() 299 | def convertible_bond(page_size: int = 5, page_count: int = 1) -> dict: 300 | """获取可转债信息 301 | 302 | Args: 303 | page_size: 每页显示数量 304 | page_count: 页码 305 | """ 306 | result = ball.convertible_bond(page_size=page_size, page_count=page_count) 307 | return process_data(result) 308 | 309 | 310 | @mcp.tool() 311 | def index_basic_info(index_code: str="SZ000002") -> dict: 312 | """获取指数基本信息 313 | 314 | Args: 315 | index_code: 指数代码 316 | """ 317 | result = ball.index_basic_info(index_code) 318 | return process_data(result) 319 | 320 | 321 | @mcp.tool() 322 | def index_details_data(index_code: str="SZ000002") -> dict: 323 | """获取指数详细信息 324 | 325 | Args: 326 | index_code: 指数代码 327 | """ 328 | result = ball.index_details_data(index_code) 329 | return process_data(result) 330 | 331 | 332 | @mcp.tool() 333 | def index_weight_top10(index_code: str="SZ000002") -> dict: 334 | """获取指数权重股前十 335 | 336 | Args: 337 | index_code: 指数代码 338 | """ 339 | result = ball.index_weight_top10(index_code) 340 | return process_data(result) 341 | 342 | 343 | @mcp.tool() 344 | def index_perf_7(index_code: str="SZ000002") -> dict: 345 | """获取指数最近7天收益数据 346 | 347 | Args: 348 | index_code: 指数代码 349 | """ 350 | result = ball.index_perf_7(index_code) 351 | return process_data(result) 352 | 353 | 354 | @mcp.tool() 355 | def index_perf_30(index_code: str="SZ000002") -> dict: 356 | """获取指数最近30天收益数据 357 | 358 | Args: 359 | index_code: 指数代码 360 | """ 361 | result = ball.index_perf_30(index_code) 362 | return process_data(result) 363 | 364 | 365 | @mcp.tool() 366 | def index_perf_90(index_code: str="SZ000002") -> dict: 367 | """获取指数最近90天收益数据 368 | 369 | Args: 370 | index_code: 指数代码 371 | """ 372 | result = ball.index_perf_90(index_code) 373 | return process_data(result) 374 | 375 | 376 | @mcp.tool() 377 | def northbound_shareholding_sh(date: str = None) -> dict: 378 | """获取深港通北向数据 379 | 380 | Args: 381 | date: 日期，默认当天，格式：'2022/01/19' 382 | """ 383 | result = ball.northbound_shareholding_sh(date) 384 | return process_data(result) 385 | 386 | 387 | @mcp.tool() 388 | def northbound_shareholding_sz(date: str = None) -> dict: 389 | """获取沪港通北向数据 390 | 391 | Args: 392 | date: 日期，默认当天，格式：'2022/01/19' 393 | """ 394 | result = ball.northbound_shareholding_sz(date) 395 | return process_data(result) 396 | 397 | 398 | @mcp.tool() 399 | def fund_detail(fund_code: str) -> dict: 400 | """获取基金详细信息 401 | 402 | Args: 403 | fund_code: 基金代码 404 | """ 405 | result = ball.fund_detail(fund_code) 406 | return process_data(result) 407 | 408 | 409 | @mcp.tool() 410 | def fund_info(fund_code: str="SZ000002") -> dict: 411 | """获取基金基本信息 412 | 413 | Args: 414 | fund_code: 基金代码 415 | """ 416 | result = ball.fund_info(fund_code) 417 | return process_data(result) 418 | 419 | 420 | @mcp.tool() 421 | def fund_growth(fund_code: str="SZ000002") -> dict: 422 | """获取基金增长数据 423 | 424 | Args: 425 | fund_code: 基金代码 426 | """ 427 | result = ball.fund_growth(fund_code) 428 | return process_data(result) 429 | 430 | 431 | @mcp.tool() 432 | def fund_nav_history(fund_code: str="SZ000002") -> dict: 433 | """获取基金历史净值数据 434 | 435 | Args: 436 | fund_code: 基金代码 437 | """ 438 | result = ball.fund_nav_history(fund_code) 439 | return process_data(result) 440 | 441 | 442 | @mcp.tool() 443 | def fund_achievement(fund_code: str="SZ000002") -> dict: 444 | """获取基金业绩表现数据 445 | 446 | Args: 447 | fund_code: 基金代码 448 | """ 449 | result = ball.fund_achievement(fund_code) 450 | return process_data(result) 451 | 452 | 453 | @mcp.tool() 454 | def fund_asset(fund_code: str="SZ000002") -> dict: 455 | """获取基金资产配置数据 456 | 457 | Args: 458 | fund_code: 基金代码 459 | """ 460 | result = ball.fund_asset(fund_code) 461 | return process_data(result) 462 | 463 | 464 | @mcp.tool() 465 | def fund_manager(fund_code: str="SZ000002") -> dict: 466 | """获取基金经理信息 467 | 468 | Args: 469 | fund_code: 基金代码 470 | """ 471 | result = ball.fund_manager(fund_code) 472 | return process_data(result) 473 | 474 | 475 | @mcp.tool() 476 | def fund_trade_date(fund_code: str="SZ000002") -> dict: 477 | """获取基金交易日期信息 478 | 479 | Args: 480 | fund_code: 基金代码 481 | """ 482 | result = ball.fund_trade_date(fund_code) 483 | return process_data(result) 484 | 485 | 486 | @mcp.tool() 487 | def fund_derived(fund_code: str="SZ000002") -> dict: 488 | """获取基金衍生数据 489 | 490 | Args: 491 | fund_code: 基金代码 492 | """ 493 | result = ball.fund_derived(fund_code) 494 | return process_data(result) 495 | 496 | 497 | @mcp.tool() 498 | def suggest_stock(keyword: str="SZ000002") -> dict: 499 | """关键词搜索股票代码 500 | 501 | Args: 502 | keyword: 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