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 btschwertfeger · MCP Server · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is python-kraken-sdk safe to install? View the security audit →
Spot, xStocks, and Futures REST and Websocket API Python SDK for the Kraken Crypto Asset Exchange 🐙 [](https://securityscorecards.dev/viewer/?uri=github.com/btschwertfeger/p
| Stars | 83 |
| Forks | 32 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.8335787624766/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-18 |
| Created | 2022-07-05 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~19k |
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python-kraken-sdk is Command-line tool, MCP server, and SDK to access the Kraken Crypto Asset Exchange API (Spot, xStocks, and Futures, REST and Websocket API). It is categorized as a MCP Server with 83 GitHub stars.
python-kraken-sdk is primarily written in Python. It covers topics such as agentic-ai, bitcoin, command-line.
You can find installation instructions and usage details in the python-kraken-sdk GitHub repository at github.com/btschwertfeger/python-kraken-sdk. The project has 83 stars and 32 forks, indicating an active community.
python-kraken-sdk is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to python-kraken-sdk on Agent Skills Hub include mcp_massive, cryptocurrency.cv, backtrader. 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: