Kafka MCP Server

by MCP-Mirror

The Kafka MCP Server is a Message Context Protocol (MCP) server that integrates with Apache Kafka to provide publish and consume functionalities for LLM and Agentic applications. It allows AI models to interact with Kafka topics through a standardized interface.

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What is Kafka MCP Server?

A server that enables AI models to interact with Apache Kafka topics for publishing and consuming messages through a standardized Message Context Protocol (MCP) interface.

How to use Kafka MCP Server?

Clone the repository. 2. Set up a virtual environment and install dependencies. 3. Configure Kafka connection details in a .env file. 4. Run the server using python main.py --transport stdio. 5. Integrate with applications like Claude Desktop by configuring the MCP server connection.

Key features of Kafka MCP Server

Publishing messages to Kafka topics
Consuming messages from Kafka topics
Standardized MCP interface
Configuration via .env file
Support for stdio and SSE transports

Use cases of Kafka MCP Server

Integrating AI models with Kafka streams
Building agentic applications that react to Kafka events
Creating LLM-powered data pipelines
Enabling AI-driven event processing
Connecting Claude Desktop to Kafka data

FAQ from Kafka MCP Server

What is MCP?

Message Context Protocol, a standardized interface for communication.

What Kafka versions are supported?

The README doesn't specify, but standard Kafka configurations should work.

How do I configure the Kafka connection?

Create a .env file with the necessary Kafka connection details (bootstrap servers, topic name, etc.).

What transport options are available?

The server supports stdio (standard input/output) and sse (Server-Sent Events) transports.

Can I read the same message from the topic multiple times?

No, once a message is read from the topic it can not be read again using the same groupid