mcp-baostock-server — security grade SAFE, quality 49/100

Security audit verdict: SAFE · quality 49/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by HuggingAGI · MCP Server · ★ 116

Last updated: 2026-03-22 · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is mcp-baostock-server safe to install? View the security audit →

About mcp-baostock-server

MCP BaoStock Server 一个基于BaoStock的股票数据服务器，提供了多个接口用于获取股票市场数据。功能特点提供股票基本信息查询支持K线历史数据获取行业分类数据查询分红派息数据查询季度财务指标数据（盈利能力、营运能力、成长能力）指数数据查询估值指标数据查询安装与使用依赖要求 Python 3.10+ baostock pandas 使用说明安装使用接口测试用例以下是各个接口的测试用例示例：获取股票基本信息获取K线历史数据获取行业分类数据获取分红派息数据获取季度盈利能力数据获取季度营运能力数据获取季度成长能力数据获取指数数据获取估值指标数据技术交流微信: iamxxn886

Quick Facts

Stars	116
Forks	32
Language	Python
Category	MCP Server
Quality Score	48.9219733653857/100
Last Updated	2026-03-22
Created	2025-04-08
Platforms	mcp, python
Est. Tokens	~9k

Compatible Skills

These tools work well together with mcp-baostock-server for enhanced workflows:

davinci-resolve-mcp — semantic(0.68)+same_lang+similar_pop+shared_platform (59%)
mcp-server-12306 — semantic(0.77)+same_lang+similar_pop+shared_platform (55%)
hwpx-mcp-server — semantic(0.83)+same_lang+similar_pop+shared_platform (55%)
manim-mcp-server — semantic(1.00)+same_lang+similar_pop+shared_platform (55%)

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Frequently Asked Questions

What is mcp-baostock-server?

mcp-baostock-server is an open-source mcp server by HuggingAGI with 116 GitHub stars.

What programming language is mcp-baostock-server written in?

mcp-baostock-server is primarily written in Python.

How do I install or use mcp-baostock-server?

You can find installation instructions and usage details in the mcp-baostock-server GitHub repository at github.com/HuggingAGI/mcp-baostock-server. The project has 116 stars and 32 forks, indicating an active community.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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