python-kraken-sdk: Command-line tool, MCP server, and SDK to access the Kraken Crypto Asset Exchange API

by btschwertfeger · MCP Server · ★ 86

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

How to install python-kraken-sdk

uv tool install "python-kraken-sdk[mcp]"

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-aibitcoincommand-linecryptocurrencyfuturesfutures-marketfutures-tradingkrakenkraken-exchangemarket-data

Quick Facts

Stars86
Forks32
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score66/100
Open Issues1
Last Updated2026-10-18
Created2022-07-05
Platformsbrowser, mcp, python
Est. Tokens~19k

About python-kraken-sdk

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

Compatible Skills

These tools work well together with python-kraken-sdk for enhanced workflows:

  • anti-gambling-trader-tw — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
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  • polymarket-tennis — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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