iflow-mcp_kafka_mcp_server

[](https://mseep.ai/app/f159a924-db1c-42f8-825b-b8a1795c1437) # Kafka MCP Server A Message Context Protocol (MCP) server that integrates with Apache Kafka to provide publish and consume functionalities for LLM and Agentic applications. ## Overview This project implements a server that allows AI models to interact with Kafka topics through a standardized interface. It supports: - Publishing messages to Kafka topics - Consuming messages from Kafka topics ## Prerequisites - Python 3.8+ - Apache Kafka instance - Python dependencies (see Installation section) ## Installation 1. Clone the repository: ```bash git clone <repository-url> cd <repository-directory> ``` 2. Create a virtual environment and activate it: ```bash python -m venv venv source venv/bin/activate # On Windows, use: venv\Scripts\activate ``` 3. Install the required dependencies: ```bash pip install -r requirements.txt ``` If no requirements.txt exists, install the following packages: ```bash pip install aiokafka python-dotenv pydantic-settings mcp-server ``` ## Configuration Create a `.env` file in the project root with the following variables: ``` # Kafka Configuration KAFKA_BOOTSTRAP_SERVERS=localhost:9092 TOPIC_NAME=your-topic-name IS_TOPIC_READ_FROM_BEGINNING=False DEFAULT_GROUP_ID_FOR_CONSUMER=kafka-mcp-group # Optional: Custom Tool Descriptions # TOOL_PUBLISH_DESCRIPTION="Custom description for the publish tool" # TOOL_CONSUME_DESCRIPTION="Custom description for the consume tool" ``` ## Usage ### Running the Server You can run the server using the provided `main.py` script: ```bash python main.py --transport stdio ``` Available transport options: - `stdio`: Standard input/output (default) - `sse`: Server-Sent Events ### Integrating with Claude Desktop To use this Kafka MCP server with Claude Desktop, add the following configuration to your Claude Desktop configuration file: ```json …