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qualityManage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)
Last updated 11 days ago
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Apache 2.0
Apache Kafka MCP Integrations
Apache Kafka is an open-source distributed event streaming platform used for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Why this server?
Provides integration with Apache Kafka through Lenses.io, enabling exploration, transformation, and joining of data in Kafka topics across multiple clusters using SQL queries without requiring an additional database.
Why this server?
Provides publish and consume functionalities for Kafka topics, allowing messages to be sent to and retrieved from Kafka streams. Messages consumed cannot be read again using the same group ID.
-securityAlicense-qualityEnables AI models to publish and consume messages from Apache Kafka topics through a standardized interface, making it easy to integrate Kafka messaging with LLM and agent applications.Last updated 8 months ago17Apache 2.0Why this server?
Connects to EventCatalog instances that document Kafka-based architectures, enabling queries about event schemas, producers, consumers, and message flows
-securityFlicense-qualityA server that connects MCP clients (Claude, Cursor, Windsurf, etc.) to EventCatalog instances, allowing users to ask questions about their event-driven architecture and get insights about domains, services, and message schemas directly within their development tools.Last updated 20 days ago3320Why this server?
Enables interaction with Apache Kafka topics, allowing read and write operations such as publishing messages to topics and consuming messages from topics in a Kafka instance.
-securityAlicense-qualityEnables interaction with Apache Kafka topics, allowing users to publish messages to and read messages from Kafka instances through natural language.Last updated 7 months agoApache 2.0Why this server?
Provides comprehensive Kafka cluster management including topic operations (create, delete, describe, configure), health monitoring, consumer lag analysis, partition leadership distribution, broker resource tracking, and temporal trend analysis for detecting recurring issues and distinguishing transient from persistent failures.
-securityFlicense-qualityEnables AI assistants to manage and monitor Apache Kafka clusters through natural language, providing real-time operations, health monitoring, consumer lag analysis, and temporal trend detection for intelligent cluster management.Last updated 16 days ago
