strimzi-kafka-cli: Command Line Interface and MCP Server for the Strimzi Kafka Operator

by SystemCraftsman · MCP Server · ★ 91

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

How to install strimzi-kafka-cli

pip install strimzi-kafka-cli --user
pipx install strimzi-kafka-cli

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

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.

apache-kafkaclicommand-line-interfacecommand-line-toolhacktoberfestkafkakubernetesmcpmcp-servermessaging

Quick Facts

Stars91
Forks15
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score71/100
Open Issues30
Last Updated2026-08-13
Created2020-04-29
Platformscli, k8s, mcp, python
Est. Tokens~14k

About strimzi-kafka-cli

Strimzi Kafka CLI Strimzi Kafka CLI is a CLI that helps traditional Apache Kafka users -both developers and administrators- to easily adapt to Strimzi, a Kubernetes operator for Apache Kafka. The main intention is to ramp up Strimzi usage by creating a similar CLI experience with the traditional Apache Kafka tools that mostly starts with prefix under the directory in an ordinary Kafka package.

Compatible Skills

These tools work well together with strimzi-kafka-cli for enhanced workflows:

  • agent-skills — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • gpt-cli — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • claude-vault — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

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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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