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 aahl · MCP Server · ★ 391
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-aktools safe to install? View the security audit →
📈 AkTools MCP Server 基于 akshare 的 MCP (Model Context Protocol) 服务器，提供股票、加密货币的数据查询和分析功能。 功能 🔍 股票搜索: 根据股票名称、公司简称等关键词查找股票代码 ℹ️ 股票信息: 获取股票的详细信息，包括价格、市值等 📊 市场概况: 获取A股市场的涨停板、龙虎榜、资金流向等 💹 历史价格: 获取股票、加密货币历史价格数据，包含技术分析指标 📰 相关新闻: 获取股票、加密货币相关的最新新闻资讯 💸 财务指标: 支持A股和港美股的财务报告关键指标查询 安装 方式1: uvx 方式2: Smithery 需要通过OAuth授权或Smithery key 方式3: Docker bash mkdir /opt/mcp-aktools cd /opt/mcp-aktools wget https://raw.githubusercontent.com/aahl/mcp-aktools/refs/heads/main/docker-compose.y
| Stars | 391 |
| Forks | 65 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.1012843314029/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-26 |
| Created | 2025-10-17 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~12k |
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mcp-aktools is 📈 提供股票、加密货币的数据查询和分析功能MCP服务器. It is categorized as a MCP Server with 391 GitHub stars.
mcp-aktools is primarily written in Python. It covers topics such as akshare, aktools, btc.
You can find installation instructions and usage details in the mcp-aktools GitHub repository at github.com/aahl/mcp-aktools. The project has 391 stars and 65 forks, indicating an active community.
mcp-aktools is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-aktools on Agent Skills Hub include stock-sdk, tradememory-protocol, PanWatch. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: