28 AI tools for Apache Kafka
Designs change data capture pipelines with log-based replication, Debezium, Kafka, schema evolution, monitoring, and recovery practices.
AI skill for feature store configuration - Feast feature views, streaming Kafka sources, validation, and materialization.
Configures production-ready Jaeger distributed tracing: Kubernetes deployment, storage backends, sampling, and OpenTelemetry.
Plan batch and streaming data pipelines across ingestion, orchestration, transformation, storage, data quality, monitoring, and cost controls.
Designs migration monitoring with CDC event metrics, lag tracking, structured logs, transaction outcomes, and actionable alerts.
An expert DevOps troubleshooter for rapid incident response - observability, Kubernetes/network/database debugging, and blameless root cause analysis.
A pub/sub subscriber skill for Google Cloud Pub/Sub, Kafka, RabbitMQ, and SNS/SQS with retry, dead-letter, batching, and scaling patterns.
Skill for real-time dashboard data pipelines: Kafka/Redis streaming, WebSocket delivery, and resilience patterns.
Sets up Testcontainers for isolated integration tests with databases, brokers, networks, and readiness checks.
Open-source MCP server with 50+ tools for Kafka, Flink SQL, Schema Registry, Connectors, and Tableflow across Confluent Cloud, Platform, or Kafka.
An MCP server for Apache Kafka with 9 tools, 4 diagnostic resources, OAuth 2.1, and SASL/TLS-secured connections.
A natural-language MCP interface for managing Kafka topics, messages, brokers, and offsets.
