mcp-kafka-processor

boufnichel/mcp-kafka-processor

3.1

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An MCP server implementation that provides event processing capabilities through Kafka integration.

The MCP Kafka Processor is a server implementation designed to facilitate event processing by leveraging Kafka integration. It allows Large Language Models (LLMs) to interact with Kafka topics through the Model Context Protocol (MCP). This server is particularly useful for applications that require real-time data processing and analysis, as it can efficiently handle large volumes of data and provide insights through LLMs. By integrating with Kafka, the MCP Kafka Processor can publish and consume events, making it a versatile tool for developers looking to build scalable and efficient data processing pipelines. The server supports easy integration with various MCP clients, including those using the popular TypeScript language, ensuring a wide range of compatibility and ease of use.

Features

  • Publish events to Kafka topics
  • Consume events from Kafka topics
  • Easy integration with Claude Desktop and other MCP clients
  • Type-safe implementation using TypeScript