Apache Kafka is a Data Engineering MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent produce and consume Kafka messages, inspect topics and consumer groups from AI agents. Install in 1 minute with mcpizy install kafka.
Data Engineering
Produce and consume Kafka messages, inspect topics and consumer groups from AI agents.
mcpizy install kafkapip install mcp-server-kafkaIf Apache Kafka doesn't fit your stack, these Data Engineering MCP servers solve similar problems.
The Apache Kafka MCP server is an Data Engineering Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents produce and consume Kafka messages, inspect topics and consumer groups from AI agents. It exposes Apache Kafka's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install kafka` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `pip install mcp-server-kafka` and restarting Claude Code.
Yes. The Apache Kafka MCP server is free and open source (see the GitHub repository linked on this page). You may still need a Apache Kafka account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can produce and consume Kafka messages, inspect topics and consumer groups from AI agents directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Apache Kafka operations, inspect results, chain Apache Kafka with other MCP servers (see our Workflow Recipes), and automate repetitive data engineering tasks without leaving your editor.