strimzi-kafka-cli

strimzi-kafka-cli

Manage Apache Kafka on Kubernetes via Strimzi. Clusters, topics, users, connectors, MirrorMaker2, and node pools.

Category
访问服务器

README

<!-- mcp-name: io.github.SystemCraftsman/strimzi-kafka-cli --> Build Integration Test Deploy PyPI Downloads License Strimzi MCP Server

Strimzi CLI logo

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 kafka-* prefix under the bin directory in an ordinary Kafka package.

Strimzi Kafka CLI uses the kfk command as an abbreviation for "Kafka For Kubernetes" or simply "k a f k a" which reminds of the kafka-* prefix of the ordinary Kafka script file names.

While having similar set of commands or options for some of the common objects, Strimzi Kafka CLI has some extra capabilities for managing or configuring Strimzi related resources.

Following are the commands of the current version of Strimzi Kafka CLI, that are used for different purposes:

Usage: kfk [OPTIONS] COMMAND [ARGS]...

  Strimzi Kafka CLI.

Options:
  --version  Show the version and exit.
  --help     Show this message and exit.

Commands:
  acls              Manages ACLs on Kafka.
  clusters          Creates, alters, deletes, describes Kafka cluster(s).
  configs           Adds/Removes entity config for a topic, client, user...
  connect           Manages Kafka Connect clusters, connectors, and MirrorMaker2.
    clusters          Creates, alters, deletes, describes KafkaConnect cluster(s).
    connectors        Creates, alters, deletes, describes KafkaConnector(s).
    mirror-maker      Lists, describes, creates, deletes KafkaMirrorMaker2(s).
  console-consumer  Reads data from Kafka topics and outputs it to...
  console-producer  Reads data from standard input and publish it to Kafka.
  mcp               Starts the Strimzi MCP server.
  node-pools        Lists, describes, creates, deletes KafkaNodePool(s).
  operator          Installs/Uninstalls Strimzi Kafka Operator.
  topics            Creates, alters, deletes, describes Kafka topic(s).
  users             Creates, alters, deletes, describes Kafka users(s).

Please take a look at the relevant article Strimzi Kafka CLI: Managing Strimzi in a Kafka Native Way for more details.

Installation

Using Python Package Installer

pip install strimzi-kafka-cli --user

Or to install Strimzi Kafka CLI in an isolated environment, you can simply use pipx:

pipx install strimzi-kafka-cli

To install with MCP server support:

pip install strimzi-kafka-cli[mcp] --user

Using Homebrew

#Tap the homebrew repository first.
brew tap systemcraftsman/strimzi-kafka-cli

#Install Strimzi Kafka CLI
brew install strimzi-kafka-cli

Installing the CLI by using Homebrew already uses a virtual environment, so you don't have to worry about your main Python environment.

Project requires: Python >=3.11

Examples

MCP Server

Strimzi Kafka CLI includes an MCP (Model Context Protocol) server that allows AI assistants to manage Strimzi Kafka deployments on Kubernetes.

Starting the MCP Server

kfk mcp

Registering with Claude Code

claude mcp add strimzi-kafka-cli -- kfk mcp

Available Tools (38)

Category Tools
Kafka Clusters list_kafkas, get_kafka, get_kafka_status, create_kafka, delete_kafka, alter_kafka_config
Topics list_topics, get_topic, create_topic, delete_topic, alter_topic
Users list_users, get_user, create_user, delete_user, alter_user
Connect Clusters list_connects, get_connect, create_connect, delete_connect, alter_connect
Connectors list_connectors, get_connector, create_connector, delete_connector, alter_connector
MirrorMaker2 list_mirror_maker_2s, get_mirror_maker_2, create_mirror_maker_2, delete_mirror_maker_2
ACLs add_or_remove_acls
Operator install_operator, uninstall_operator
Node Pools list_node_pools, get_node_pool, create_node_pool, delete_node_pool
Version get_version

Dependencies

Python Dependencies

Please see pyproject.toml file.

External Dependencies

Strimzi resources are automatically downloaded when the first kfk command is run. Strimzi Kafka CLI uses the Python Kubernetes client to interact with the cluster directly. You can check the dependency versions with:

kfk --version

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选