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 TickDB · MCP Server · ★ 653
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is tickdb-unified-realtime-marketdata-api safe to install? View the security audit →
TickDB — Unified Real-time Market Data API for Forex, Stocks, Crypto One connection for Forex, Precious Metals, Indices, US Stocks, HK Stocks, A-Shares, and Crypto 开源工具集 · 完整 API 文档 + AI Skill + MCP 服务端实现 语言版本: 🇨🇳 简体中文 • 🇹🇼 繁體中文 • 🇺🇸 English 📚 在线文档 • 🌐 官网 • 🤖 AI 接入 ↓ 🎯 什么是 TickDB？ TickDB 是面向开发者、AI 代理和多市场金融应用的 AI 原生实时行
| Stars | 653 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.3755454212799/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-20 |
| Created | 2026-01-11 |
| Platforms | browser, cli, mcp, python |
| Est. Tokens | ~15k |
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tickdb-unified-realtime-marketdata-api is TickDB: AI-native real time stock API and market data API for US stocks, HK stocks, A-shares, forex, crypto, indices and commodities. Skill, CLI, MCP, REST API and WebSocket. AI 原生实时股票 API 与金融行情数据 API. It is categorized as a MCP Server with 653 GitHub stars.
tickdb-unified-realtime-marketdata-api is primarily written in Python. It covers topics such as ai-tools, cli-tool, commodities.
You can find installation instructions and usage details in the tickdb-unified-realtime-marketdata-api GitHub repository at github.com/TickDB/tickdb-unified-realtime-marketdata-api. The project has 653 stars and 11 forks, indicating an active community.
tickdb-unified-realtime-marketdata-api is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tickdb-unified-realtime-marketdata-api on Agent Skills Hub include stock-sdk, open-trading-api, mcp_massive. 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: