pavanjava_kafka_mcp_server
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A Message Context Protocol (MCP) server that integrates with Apache Kafka to provide publish and consume functionalities for LLM and Agentic applications.
The Kafka MCP Server is designed to facilitate seamless interaction between AI models and Kafka topics through a standardized interface. It enables the publishing and consuming of messages to and from Kafka topics, making it an ideal solution for applications that require real-time data processing and communication. The server is built with Python and requires an Apache Kafka instance to function. It supports various transport options, including standard input/output and server-sent events, allowing for flexible integration with different platforms. The server is configured using environment variables, which specify Kafka connection details and topic configurations. This project is structured to include a main entry point, a Kafka connector, and an MCP server implementation, ensuring modularity and ease of maintenance.
Features
- Publish messages to Kafka topics
- Consume messages from Kafka topics
- Standardized interface for AI model interaction
- Configurable transport options
- Environment-based configuration management
