"Apache Lucene" matching MCP servers:

Enables interaction with Apache Airflow through the Model Context Protocol, allowing users to manage DAGs, task instances, variables, connections, pools, XComs, and datasets.

Enables natural language interaction with Apache Airflow for querying DAGs, monitoring execution, and troubleshooting failures.

Enables AI agents to interact with Apache Kafka through natural language, supporting operations like producing/consuming messages, managing topics, and querying brokers, partitions, and consumer group offsets.

Enables 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.

Enables interaction with Apache Kafka topics, allowing users to publish messages to and read messages from Kafka instances through natural language.

Provides integration with Apache Airflow's REST API, allowing AI assistants to programmatically interact with Airflow workflows, monitor DAG runs, and manage tasks.

Enables AI agents to manage and interact with Apache NiFi through its REST API, covering process groups, processors, connections, queues, provenance, and version control via natural language tool calls.

Enables Claude to inspect and operate Apache Airflow over its REST API, providing read tools and safe write operations (gated by read-only mode) for managing DAGs, runs, tasks, and pools.

Enables management of Amazon Managed Workflows for Apache Airflow (MWAA) environments and operations including DAG management, workflow execution monitoring, and access to Airflow connections and variables through a unified interface.