laogu-mcp

io.github.laogu-caibaoPublished by GitHub account laogu-caibaov1.1.1Updated Nov 2, 2026

老谷拆财报 MCP Server：21 个 A 股财经 skill 的程序化数据层（零 key、纯公开接口）。

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Overview

AI-generated overview

Local MCP server exposing 16 tools of public A-share market data — quotes, filings, dragon-tiger lists, margin data, unlocks and valuation — with no API keys.

What you can do
  • Fetch stock quotes and index/market snapshots, including US indices, oil, gold and offshore yuan
  • List and read company announcements in full text, and verify stock codes against official short names
  • Retrieve dragon-tiger list details, margin financing data and top capital flows
  • Scan earnings pre-announcements, IPO calendars, share-unlock notices and investor-relations records
  • Gather valuation anchors (PE/PB/market cap) and financial risk-check inputs
  • Return a uniform JSON envelope with source, timestamp and warnings, marking missing fields as null
When to use it
Useful when you want A-share market data inside any MCP-capable client without installing individual skills or registering for API tokens, for example quick quote checks, announcement lookups or valuation inputs before the host model writes its own analysis.
Requirements
Runs locally over stdio; needs Python 3.10 or newer and uv, launched as uvx laogu-mcp. No API keys, login or configuration are required. Network access to public data sources (Sina, Eastmoney, Tencent) is needed.
Before you install
It only fetches and structures data; interpretation is left to the host model, and the author states it gives no buy/sell recommendations and is not investment advice. Data comes from public endpoints that may time out or fail and fall back to other sources, so figures should be checked against the original filings. It reads public web data only and stores no credentials.

Installation

In SourceWeft

  1. Open laogu-mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

老谷拆财报 MCP Server（laogu-mcp）

16 个「老谷拆财报」财经 skill 的程序化数据层：A 股行情、公告、龙虎榜、两融、 解禁、估值……一次装好，16 个场景 tool 随便调。

零 key、零登录、零配置：全部走公开接口，不用申请任何 token。 以数据为刃，剖市场真相 —— 个人观点，仅供参考，不构成投资建议。

30 秒装好（小白版）

  1. 装 Python 3.10 或更新（python.org 下载，一路"下一步"）。
  2. 装 uv（命令行工具，复制粘贴下面一行）：
    • Windows（PowerShell）：powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
    • Mac/Linux：curl -LsSf https://astral.sh/uv/install.sh | sh
  3. 测试一行能跑：uvx laogu-mcp（看到启动日志即成功，按 Ctrl+C 退出）。

一键安装

bash
npx skills add laogu-caibao/laogu-mcp
bash
uvx laogu-mcp

Claude Desktop 配置

打开 Claude Desktop → 设置 → 开发者 → MCP 服务器 → 编辑配置文件，加入：

json
{  "mcpServers": {    "laogu-mcp": {      "command": "uvx",      "args": ["laogu-mcp"]    }  }}

保存后重启 Claude Desktop，对话框输入框下方出现 🔌 图标即装好。

Cherry Studio 配置

设置 → MCP 服务器 → 添加服务器 → 类型选"标准输入输出 (stdio)"：

  • 名称：laogu-mcp
  • 命令：uvx
  • 参数：laogu-mcp

保存后开关打开，状态显示"已连接"即成功。

16 个 tool 一览

tool对应 skill一句话
quotelaogu-fundamentals个股行情快照（现价/涨跌/成交量额）
ann_listlaogu-announcements个股公告列表（含取正文的 art_code）
code_verifylaogu-news股票代码↔官方简称核对
market_snapshotlaogu-morningA股指数+美股+原油+黄金+离岸人民币
fund_flowlaogu-moneyflow个股两融 / 全市场龙虎榜资金 Top
close_recaplaogu-close收盘指数快照
lhb_boardlaogu-lhb龙虎榜明细（自动回滚到最近交易日）
ann_contentlaogu-report公告正文全文抓取（自动翻页）
risk_inputslaogu-risk财务风险体检输入（行情+定期报告定位）
earnings_annlaogu-earnings业绩预告/快报公告扫描
research_groundinglaogu-research研报解读 grounding（代码核对+行情）
ir_recordslaogu-notes投资者关系活动记录表搜索
unlock_noticeslaogu-unlock限售解禁公告搜索
ipo_calendarlaogu-ipo打新日历（无公开接口时诚实返回搜索模板）
valuationlaogu-value估值锚输入（PE/PB/市值）
macro_helperlaogu-macro交易日校验+北京时间换算+宏观搜索模板

返回格式

统一 JSON 信封，成功失败都一样的结构：

json
{  "ok": true,  "data": { "...": "..." },  "meta": {"source": "新浪行情", "fetched_at": "2026-09-29 03:55:00", "timezone": "北京时间"},  "warnings": ["腾讯行情不可用，已降级到新浪行情"]}

失败时 ok: false，带 reason 和 search_templates（网页搜索关键词），绝不编数字。 取不到的字段标 null 并在 warnings 说明，不估算。

诚实纪律（和 16 个 skill 同标准）

  • 关键数据带日期时点和来源；单源数据标注来源。
  • 北向"净流入/净买入"口径已死（2024-08-19 起），本 server 不输出该数字。
  • 只做数据抓取，解读由宿主 LLM 按各 skill 的 Output Contract 执行；不做买卖推荐。
  • 公共接口不提供具体龙虎榜营业部，绝不编造。

数据源实测状态（2026-09-29）

接口状态
新浪行情（含指数/美股/期货/外汇）✅
东财公告列表 / 正文✅
东财龙虎榜 / 两融✅
腾讯行情⚠️ 部分网络超时（自动降级）
东财 push2⚠️ 部分网络 502（自动降级）

开发

bash
git clone https://github.com/laogu-caibao/laogu-mcpcd laogu-mcpuv venv && uv pip install -e ".[dev]"python smoke/run.py   # 冒烟测试（真实数据）

—— 老谷拆财报 · laogu-mcp · 出品：老谷拆财报（抖音/视频号/头条/快手同名） 个人观点，仅供参考，不构成投资建议

mcp-name: io.github.laogu-caibao/laogu-mcp

English

laogu-mcp — MCP data server. The programmatic data layer behind the skills: 16 finance tools (quotes, filings, dragon-tiger list, margin data, unlocks, valuation). Zero API keys, zero login, zero config — public endpoints only. Install: uvx laogu-mcp.

FAQ

Q：laogu-mcp 有什么用？ 适合的场景：不想逐个装 skill，只想在任意支持 MCP 的客户端里直接调 16 个 A 股财经数据工具（零 key）。

Q：数据可靠吗？会荐股吗？ 数字必须来自可核验的公开来源（上市公司公告、交易所公开数据、公开网页），取不到就标「未核验」，绝不编造；只做结构化整理与解读，不构成投资建议。

Q：怎么安装？支持哪些 AI 平台？

bash
npx skills add laogu-caibao/laogu-mcp

平台中立 Markdown，Claude Code、Codex、豆包智能体、Workbuddy、扣子 Coze、Trae 等环境均可用；数据能力可用 laogu-mcp（uvx laogu-mcp）一次装齐。更多 skill 见老谷拆财报组织主页。

Source: README.md at commit 62b70ae

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

4
  1. v1.1.1LatestOct 5, 2026
  2. v1.1.0Sep 29, 2026
  3. v1.0.2Sep 29, 2026
  4. v1.0.1Sep 29, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts