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 nirholas · MCP Server · ★ 92
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is free-crypto-news safe to install? View the security audit →
name: cryptocurrency.cv type: api category: cryptocurrency auth: none pricing: free endpoints: 150+ sources: 200+ llmstxt: https://cryptocurrency.cv/llms.txt openapi: https://cryptocurrency.cv/api/openapi.json mcpserver: "@anthropic-ai/mcp-server-crypto-news" 🌐 Languages (42): English 繁體中文 🆓 Free Crypto News API <a href="https://github.com/nirholas/free-crypto-news/stargazer
| Stars | 92 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 63.7512260966467/100 |
| Last Updated | 2026-03-31 |
| Created | 2026-01-02 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~18932k |
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free-crypto-news is Free crypto news API - real-time aggregator for Bitcoin, Ethereum, DeFi, Solana & altcoins. No API key required. RSS/Atom feeds, JSON REST API, historical archive with market context, embeddable widge. It is categorized as a MCP Server with 92 GitHub stars.
free-crypto-news is primarily written in TypeScript. It covers topics such as ai-agent, api, bitcoin.
You can find installation instructions and usage details in the free-crypto-news GitHub repository at github.com/nirholas/free-crypto-news. The project has 92 stars and 16 forks, indicating an active community.
The top alternatives to free-crypto-news on Agent Skills Hub include weam, c4-genai-suite, notion-mcp-server. 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: