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CNEquity

by rootSuncversion 0.21.0i★ –iRuns on your computer
Registry nameio.github.rootSunc/cnequity

Install

Overview

Description from the maker (original English)

Open-source China A-share data lake for AI agents: prices, fundamentals, flows, events, PIT.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cnequity": {
      "command": "uvx",
      "args": [
        "cnequity",
        "mcp",
        "--config",
        "your-value"
      ]
    }
  }
}

Run this in your terminal

claude mcp add cnequity -- uvx cnequity mcp --config your-value

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cnequity": {
      "command": "uvx",
      "args": [
        "cnequity",
        "mcp",
        "--config",
        "your-value"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cnequity": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cnequity",
        "mcp",
        "--config",
        "your-value"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account rootSunc, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32655 servers in this category
  • Published to the registry more recently than 84% of the other 32655 servers in this category
  • Basic checks equal to or better than 100% of the other 32655 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is CNEquity safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.21.0) reached the registry 6 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SuperCollider

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

CNEquity · 中国市场金融数据湖 免注册、免 Token · 复权与 PIT 内置 · 保留退市股 · 行级溯源 · MCP 原生

CNEquity 是开源的中国 A股本地数据湖:整理沪深股票行情、股票数据、财务与期货数据,面向量化研究、量化交易与回测。57 个数据集落到本地 Parquet,可增量续跑,也能通过 MCP 让 AI 直接查 A 股。

English · 完整文档 · 数据集目录 · 更新日志

*cne serve 控制台真实录屏。*

为什么用 CNEquity

和常用取数工具的区别(完整说明见对比页):

AKShareTushare ProBaostockCNEquity
账号与 Token不需要注册 + Token,按积分开放不需要,匿名登录基础采集不需要
数据落盘与增量调用方自己做调用方自己做调用方自己做本地 Parquet,内置增量与续跑
退市股与 PIT 财报取决于接口取决于接口部分提供保留退市股,财报按公告日严格 PIT
行级溯源无无无每行带来源、版本和抓取时间
给 AI 用自己封装自己封装自己封装cne mcp 只读接入

快速开始

需要 Python 3.10+(macOS / Linux / Windows),不需要账号或 token。

① 一分钟试用。 用真实数据源抓 5 只股票最近 30 个交易日,建在独立目录里,不影响以后的正式湖:

pip install cnequity

cne init --profile demo # 约 1 分钟;结束时打印行情表、查询示例和接给 AI 的命令 cne serve --config configs/cnequity.demo.toml # 在浏览器里打开上面的控制台

② 让 AI 直接查 A 股。 把湖以只读方式接给 Claude、ChatGPT、Codex、Gemini CLI、Cursor、VS Code 等支持 MCP 的客户端(--config 用绝对路径)。以 Claude Code 为例:

claude mcp add cnequity -- cne mcp --config /abs/path/to/configs/cnequity.demo.toml

各家客户端的写法见 MCP 接入指南;ChatGPT 只接公网网址,用 cne mcp --http --token 加隧道接入。然后直接问:「宁德时代最近 30 个交易日的最高收盘价是哪天?」

*真实 MCP 工具调用与返回;收盘价为未复权价。*

③ 建正式湖。 沪深京全市场、最近 3 年:

cne init     # 开始建正式湖,支持中断续传

cne check # 检查数据是否完整、可用

from cnequity.query import load

bars = load("daily_bars", symbols=["600519.SH"]) print(bars.tail())

之后每天运行一次 cne run daily 保持更新。想要更长的历史,或了解 init 具体做了什么,见初始化指南。

能用它研究什么

你的问题数据与入口
跨分红、送转后的历史收益daily_bars + adj_factors · 复权示例
某个调仓日已经知道哪些财报信息financial_statement_items · PIT 示例
历史股票池、退市前行情instruments、trading_status、delisting_events · 股票池画像
估值、资金流、行业轮动valuation_metrics、资金面与结构数据 · 查询指南
期货期限结构、期权链与 Greeks逐合约行情和派生数据 · 衍生品指南

数据范围

支持 57 个数据集(49 个 curated、8 个 derived),按用途分为 L0–L9。字段、主键、历史起点和来源见数据集目录与数据源说明。

层次研究用途代表数据集
L0基础参考证券主数据、交易日历、交易状态
L1行情日线、指数、复权因子、可选分钟线与分笔、退市事件
L2公司事件公司行为、公告索引、业绩披露预约
L3基本面财报、估值、股本、股东、一致预期
L4资金面北向、融资融券、龙虎榜、大宗交易、资金流
L5结构行业指数成分、行业与板块成分、行业指数
L6宏观宏观指标、市场宽度
L7舆情与轮动新闻、快讯、情绪、人气、板块行情与资金流
L8风险合规解禁日程、监管事件
L9衍生品期货与期权合约、逐合约行情、连续合约、Greeks、分钟线

分钟线、分笔、期货/期权,以及资金流、新闻、人气榜等拓展数据集默认关闭,需要时用户自行打开。

架构

幸存者偏差

今天的名单不能代替历史股票池。

日常更新与升级

cne schedule install   # 为当前用户安装每日定时任务(macOS / Linux / Windows)

cne run daily # 或者自己每天运行一次 cne check # 验收;有缺口或质量 error 时返回非零

升级:pip install -U cnequity,然后 cne config upgrade 和 cne migrate(先预览,确认后加 --apply)。调度、操作页和失败后续见日常运维,范围与续跑见初始化指南。

适合与边界

适合持续积累历史、反复查询和自托管。

项目处于 0.x,不含回测引擎或下单。代码采用 Apache-2.0,数据另受上游许可约束,仓库不附带数据湖。

文档与参与

想做什么从这里开始
安装、跑通首个查询安装 · 快速开始
常见问题免费获取 A股历史数据 · 回测避免未来函数 · 用 AI 查 A股 · 与 AKShare、Tushare、Baostock 对比
找数据、确认口径目录 · 字段 · 研究示例
查命令、参数和副作用CLI · 参数默认值 · 联网与写入清单
配调度、处理失败运行手册 · 取数与源保护 · 排障
理解产品方向与反馈问题产品设计 · 升级与反馈

欢迎提交带最小复现的 Issue、文档修正或数据适配 PR。研究引用见 CITATION.cff;安全问题请按安全策略私下报告。

觉得有用?[点一个 Star](https://github.com/rootSunc/CNEquity),或把项目分享给同样在维护 A 股数据的人。

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