Kafka
Createdtuannvm
Enables LLM models to interact with Apache Kafka through the Model Context Protocol (MCP).
About
Kafka bridges the gap between LLM models and Apache Kafka, offering a standardized Model Context Protocol (MCP) interface for performing common Kafka operations. It allows LLMs to produce and consume messages, manage topics and consumer groups, monitor cluster health, and execute other standard Kafka functionalities through a unified and secure interface. Configuration is streamlined with mcpenetes, simplifying management across multiple clients.
Key Features
- Implements common Kafka operations via MCP.
- Offers customizable configuration options for different environments.
- Supports SASL (PLAIN, SCRAM-SHA-256, SCRAM-SHA-512) and TLS authentication for security.
- 6 GitHub stars
- Provides error handling with meaningful feedback.
- Includes pre-configured prompts for common Kafka operations.
Use Cases
- Enables LLMs to list, describe, and manage Kafka topics.
- Facilitates monitoring and management of Kafka consumer groups.
- Allows LLMs to produce and consume messages from Kafka topics.
