Kafka Dataops Mcp

Overview

Kafka Dataops Mcp is a Model Context Protocol (MCP) server: DataOps Kafka MCP server with consumer lag diagnosis and broker monitoring. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.

It runs locally: the Python package kafka-dataops-mcp (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v0.1.0, published under the MIT license, with source at Aguantar/kafka-mcp-server on GitHub.

You'll find Kafka Dataops Mcp in the Development category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Kafka Dataops Mcp for Aguantar, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "kafka_dataops_mcp": {
      "command": "uvx",
      "args": [
        "kafka-dataops-mcp"
      ]
    }
  }
}