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wklee610/kafka-mcp

wklee610/kafka-mcp

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Free

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Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

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, create create_topic, delete delete_topic, describe describe_topic, and increase partitions create_partitions.
  • Configuration Management: View describe_configs and modify alter_configs dynamic configs for topics, brokers, and groups.
  • Consumer Groups: List list_consumer_groups, describe describe_consumer_group, and securely manage offsets with reset_consumer_group_offset and rewind_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 messages produce_message.
  • Python 3.10+
  • uv package manager (recommended)
  • A running Kafka cluster (e.g., local Docker, Confluent Cloud, etc.)
  1. 1.Clone the repository.
  2. 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

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from awesome:punkpeye/awesome-mcp-servers

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