by systemcraftsman
Command Line Interface for Strimzi Kafka Operator. Includes an MCP server to manage Strimzi Kafka deployments on Kubernetes. Requires Python >=3.11. Strimzi resources are automatically downloaded when the first 'kfk' command is run.
Repository-wide counts · Cached 2026-08-13
The Strimzi Kafka CLI MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.
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Open the Strimzi Kafka CLI repository to read the latest documentation.
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Build-time snapshot · Retrieved 2026-10-05
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.
backup Backs up and restores Strimzi resources.
kafka Backs up or restores a Kafka cluster and its resources.
connect Backs up or restores a Kafka Connect cluster and its connectors.
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.
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
Or with pipx:
pipx install strimzi-kafka-cli[mcp]
#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. MCP server support is included by default.
Project requires: Python >=3.11
Strimzi Kafka CLI includes an MCP (Model Context Protocol) server that allows AI assistants to manage Strimzi Kafka deployments on Kubernetes.
kfk mcp
claude mcp add strimzi-kafka-cli -- kfk mcp
| 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 |
| Backup | backup_kafka, restore_kafka, backup_connect, restore_connect |
| 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 |
Please see pyproject.toml file.
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