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460,752 tools. Updated 2026-08-18 05:35

"Apache Kafka" matching MCP tools:

Matching MCP Servers

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    An AI-native control interface for OCI Streaming with Apache Kafka that enables LLM agents to securely manage Kafka clusters through structured tool execution with safety guardrails.
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    Apache 2.0
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    MCP server for Apache Kafka that allows LLM agents to inspect topics, consumer groups, and safely manage offsets (reset, rewind).
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    Apache 2.0

Matching MCP Connectors

  • PostgreSQL and Apache Kafka MCP server. Provision, query, and monitor managed cloud data services from AI assistants like Claude, Cursor, and VS Code.

  • KAKA, an ancient amnesiac crow from klaash.club. Get a live introduction or his response log.

  • Create a new Kafka topic with configurable partition count and replication factor to enable message production and consumption on an Apache Kafka cluster.
  • Search standards documentation to find technology guidance on topics like kafka, docker, and kubernetes. Returns up to 5 matching excerpts with detailed information.
    MIT
  • Lists all Apache Airflow DAGs with metadata including status, schedule, tags, and owners for workflow discovery and monitoring.
    Apache 2.0
  • List installed Apache Airflow provider packages with their versions, descriptions, and included operators, hooks, and sensors. Responds to queries about provider availability and integration details.
    Apache 2.0
  • Retrieve the Python source code of an Apache Airflow DAG by providing its DAG ID. Returns the DAG file content and file token for inspection and debugging.
    Apache 2.0
  • Retrieve comprehensive details for a specific Apache Airflow DAG, including schedule, pause status, owners, tags, and run configuration.
    Apache 2.0
  • Generate and send messages to a specified Kafka topic. Automatically creates the topic if it doesn’t exist, ensuring reliable message storage for user conversations or history.
    MIT
  • Retrieve a complete list of topics in your Kafka cluster using the mcp-confluent server. Simplify cluster management by accessing all available topics in one request.
    MIT
  • Use this tool to create new Kafka topics in your Confluent cluster by specifying topic names. It integrates with Confluent Kafka and Confluent Cloud REST APIs for streamlined topic management.
    MIT
  • Filter and list Kafka topics by a specific tag using the Schema Registry REST API, enabling easy topic discovery and management within Confluent Kafka or Confluent Cloud environments.
    MIT
  • Find specific Kafka topics in your cluster by name using the Schema Registry REST API. Streamline topic identification for Confluent Kafka or Confluent Cloud environments.
    MIT
  • Assign existing tags to Kafka topics in Confluent Cloud, enabling organized and efficient topic management. Specify tag assignments directly through structured input.
    MIT