Kafka MCP Server

by pavanjava

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 allows AI models to interact with Kafka topics through a standardized interface, supporting publishing and consuming messages.

How to use Kafka MCP Server?

Clone the repository. 2. Create and activate a virtual environment. 3. Install dependencies. 4. Configure the .env file with Kafka settings. 5. Run the server using python main.py --transport stdio. 6. Integrate with Claude Desktop by adding the server configuration to the Claude Desktop configuration file.

Key features of Kafka MCP Server

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

Use cases of Kafka MCP Server

Integrating LLMs with Kafka streams
Building agentic applications that interact with Kafka
Creating AI-powered data pipelines
Enabling real-time data processing for AI models

FAQ from Kafka MCP Server

What is the purpose of this server?

It allows AI models to interact with Kafka topics for publishing and consuming messages.

What are the prerequisites for running this server?

Python 3.8+, Apache Kafka instance, and the required Python dependencies.

How do I configure the Kafka connection?

Create a .env file with the necessary Kafka configuration variables, such as KAFKA_BOOTSTRAP_SERVERS and TOPIC_NAME.

What transport options are available?

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

How do I integrate this server with Claude Desktop?

Add the server configuration to your Claude Desktop configuration file, specifying the command to run the server.