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wklee610/kafka-mcp

MCP Developer Tools

MCP server for Apache Kafka that allows LLM agents to inspect topics, consumer groups, and safely manage offsets (reset, rewind).

Python Latest 1.1.2 · 2mo ago Security brief →

Features

  • Manage Kafka cluster metadata (describe brokers, list topics)
  • Create, delete, and modify topics and partitions
  • Configure dynamic settings for topics, brokers, and consumer groups
  • Handle consumer group offsets with reset/rewind operations
  • Consume and produce messages from/to Kafka

Recent releases

View all 4 releases →
1.1.1 New feature
Notable features
  • Support for retrieving topic offsets
Full changelog
  • support for retrieving topic offsets

What's Changed

  • fix: claude plugin marketplace json by @wklee610 in https://github.com/wklee610/kafka-mcp/pull/4
  • add: support for retrieving topic offsets by @wklee610 in https://github.com/wklee610/kafka-mcp/pull/5

Full Changelog: https://github.com/wklee610/kafka-mcp/compare/1.1.0...1.1.1

1.1.0 Breaking risk
Breaking changes
  • Renamed internal package from kafka-mcp to kafka_mcp
Notable features
  • Added Admin API-based consumer group offset reset
  • Added timestamp-based offset rewind
  • Introduced dry-run mode with impact summary
Full changelog

✨ Highlights

  • Added Admin API-based consumer group offset reset
  • Added timestamp-based offset rewind
  • Introduced dry-run mode with impact summary
  • Improved safety checks before modifying offsets
  • Added logging for offset lookup failures
  • General refactoring

🔄 Project Rename

  • Renamed internal package from kafka-mcp to kafka_mcp
1.0.0 Feature
Notable features
  • MCP server implementation based on FastMCP
  • Kafka integration using confluent-kafka
  • Allows LLMs to directly query Kafka metadata
Full changelog
  • MCP server implementation based on FastMCP
  • Kafka integration using confluent-kafka
  • Allows LLMs to directly query Kafka metadata
  • Experimenting with an agent-driven Kafka operations interface

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