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An MCP server implementation for Kafka, allowing LLMs to interact with and manage Kafka clusters.
- Cluster Management: View broker details
describe_cluster,describe_brokers. - Topic Management: List
list_topics, createcreate_topic, deletedelete_topic, describedescribe_topic, and increase partitionscreate_partitions. - Configuration Management: View
describe_configsand modifyalter_configsdynamic configs for topics, brokers, and groups. - Consumer Groups: List
list_consumer_groups, describedescribe_consumer_group, and securely manage offsets withreset_consumer_group_offsetandrewind_consumer_group_offset_by_timestamp. Advanced tools include state validation, dry runs, and execution audit logging. - Messaging: Consume messages
consume_messages(from beginning, latest, or specific offsets) and produce messagesproduce_message.
- Python 3.10+
uvpackage manager (recommended)- A running Kafka cluster (e.g., local Docker, Confluent Cloud, etc.)
- 1.Clone the repository.
- 2.Install dependencies:
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want wklee610/kafka-mcp again. Will you remember where to find it?
Save it to your library and the next time you need wklee610/kafka-mcp, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. wklee610/kafka-mcp. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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