Retrieve all Kafka topics from a Vultr Kafka database using its ID or label to manage and monitor your message queues.
MIT
205,114 tools. Last updated 2026-06-16 04:11
"Apache Kafka" matching MCP tools:
- Create a new Kafka topic with configurable partitions, replication, and settings for data streaming in Apache Kafka environments.Apache 2.0
- Build, parse, or analyze Content-Security-Policy headers with severity-ranked warnings. Assemble directives or audit existing policies for misconfigurations.MIT
- Generate Apache .htaccess file text for security, redirects, caching, compression, and access control using structured options. No file writing; returns the text for copying.MIT
- Parse Apache, nginx, syslog, JSON Lines, and systemd journal logs into structured rows, then filter, aggregate, or convert them for analysis.MIT
- 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
Matching MCP Servers
- AlicenseBqualityCmaintenanceMCP server for Apache Kafka that allows LLM agents to inspect topics, consumer groups, and safely manage offsets (reset, rewind).Last updated1611Apache 2.0
- Alicense-qualityDmaintenanceEnables interaction with Apache Kafka topics, allowing users to publish messages to and read messages from Kafka instances through natural language.Last updatedApache 2.0
Matching MCP Connectors
Content-addressed, ed25519-signed memory of every place on Earth. Apache-2.0, no keys for reads.
The first artist-owned MCP server. Discover, narrate, and stream Matthew Hartley's debut album The Time Is Now from any compatible AI client. Exposes 8 tools (list_songs, get_song, list_chapters, get_chapter, get_artist, get_experience, get_experience_prompt, refresh_stream_urls) over a public HTTP endpoint with no auth. Apache 2.0 licensed.
- Validate RESTForge license and database, Redis, Kafka connections from config file to confirm everything works before deployment.MIT
- Generates Apache 2.4, nginx, and Caddy 2 configuration files from a single structured input, including TLS, reverse proxy, PHP-FPM, static file serving, security headers, and logging.MIT
- Lists all Apache Airflow DAGs with metadata including status, schedule, tags, and owners for workflow discovery and monitoring.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 active Kafka connector names via the Kafka Connect REST API to simplify specific connector read requests on the mcp-confluent server.MIT
- Remove Kafka topics by specifying their names to manage and optimize your Confluent Kafka environment. Supports bulk deletion for streamlined topic management.MIT
- Deploy Kafka connectors by specifying configuration details such as environment, cluster, and connector class. Simplifies integration with Confluent Kafka and Confluent Cloud REST APIs.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
- Generate interactive charts and visualizations from any data by providing an ECharts option as JSON. Customize size, theme, and export as PNG, SVG, or the raw option. Supports all ECharts chart types.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
- Assign existing tags to Kafka topics in Confluent Cloud, enabling organized and efficient topic management. Specify tag assignments directly through structured input.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