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MCP Kafka工具

@yufule

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yufule

About MCP Kafka工具

MCP Kafka服务器 - 通过MCP协议连接Kafka，支持查询Topic信息、读写数据和回放历史数据

MCP Kafka工具 config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-kafka-server": {
      "command": "python",
      "args": [
        "mcp_kafka_server.py"
      ]
    }
  }
}

MCP Kafka工具 tools

Tool list not available yet

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Overview

What is MCP Kafka工具?

MCP Kafka工具是一个基于MCP（Model Context Protocol）协议的Kafka工具，可以通过大模型连接Kafka，实现查询主题信息、数据读写以及按时间回放等操作。

How to use MCP Kafka工具?

安装依赖后，以本地模式直接运行mcp_kafka_server.py，或以Web服务模式运行mcp_kafka_sse_server.py（启动在localhost:8000），然后在MCP客户端（如Claude、Cherry Studio）中连接对应节点即可使用。

Key features of MCP Kafka工具

  • 列出所有Kafka Topic
  • 获取指定Topic的详细信息
  • 向Topic发送消息
  • 读取Topic最新消息
  • 回放指定时间段的历史消息
  • 支持STDIO和SSE运行模式

Use cases of MCP Kafka工具

  • 通过大模型查询Kafka中所有主题
  • 通过大模型向指定主题发送消息
  • 通过大模型读取指定主题的最新消息
  • 通过大模型回放指定时间范围内的历史消息
  • 集成到Cherry Studio等MCP客户端中管理Kafka数据

Frequently asked questions

1

MCP Kafka工具需要哪些依赖？

需要Python环境，通过`pip install -r requirements.txt`安装依赖。

2

MCP Kafka工具默认连接的Kafka地址是什么？

默认连接到localhost:9092，可以在KafkaManager类的初始化参数中修改`bootstrap_servers`。

3

MCP Kafka工具支持哪些运行模式？

支持本地模式（STDIO）和Web服务模式（SSE），分别运行`mcp_kafka_server.py`和`mcp_kafka_sse_server.py`即可。

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