Kafka Integrations
Enables language models to interact with Apache Kafka and its ecosystem.
About
Kafka Integrations provides a server-side implementation of the Model Context Protocol (MCP) for Apache Kafka, allowing language models to reliably interact with Kafka and its ecosystem. It supports core Kafka APIs, Kafka Connect, Burrow, and Cruise Control REST APIs. This enables LLMs/SLMs to perform tasks such as consuming and producing messages, describing Kafka cluster configurations, managing Kafka Connect connectors, and monitoring cluster health via Burrow and Cruise Control.
Key Features
- Provides Burrow API support for cluster health monitoring
- Offers Cruise Control API support for cluster optimization
- Supports core Kafka APIs for consuming and producing messages
- Exposes MCP capabilities for topic, connector, and consumer group resources
- Integrates with Kafka Connect for managing connectors
- 3 GitHub stars
Use Cases
- Automated Kafka cluster management through language models
- Real-time data analysis and processing with LLM-driven workflows
- Integration of Kafka data streams into AI-powered applications
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