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
168,498 tools. Last updated 2026-06-03 05:07
"Apache Druid" matching MCP tools:
- 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
- Verify Apache Pinot connection status and retrieve diagnostics to ensure proper integration and functionality with the StarTree MCP Server.Apache 2.0
- Retrieve table size metrics to monitor and optimize data storage in StarTree MCP Server for Apache Pinot by specifying the table name.Apache 2.0
Matching MCP Servers
- Flicense-qualityBmaintenanceNatural Language Analytics MCP server for Apache Druid. With this enterprise ready server in Java, one can query Apache Druid by natural language queries. Furthermore, the complete management like data loading of the Time Series Database Druid can be done with natural language commands.Last updated12
- AlicenseCqualityBmaintenanceProvides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health.Last updated68166MIT
Matching MCP Connectors
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.
Content-addressed, ed25519-signed memory of every place on Earth. Apache-2.0, no keys for reads.
- Execute SELECT SQL queries on Apache Pinot databases via the StarTree MCP Server to retrieve and analyze data efficiently.Apache 2.0
- Retrieve and list all segments associated with a specific table in Apache Pinot using this tool, ensuring efficient data management and analysis.Apache 2.0
- Retrieve a specific schema by its name from the StarTree MCP Server for Apache Pinot, enabling quick access to structured data configurations.Apache 2.0
- Modify and update an existing schema in Apache Pinot using JSON input, with options to reload or force changes as needed.Apache 2.0
- Generate table configurations for Apache Pinot using the MCP server, enabling streamlined setup by inputting JSON and optional validation skips.Apache 2.0
- Modify table configurations in Apache Pinot by updating the table name and config JSON. Skip specified validation types to customize updates.Apache 2.0
- Retrieve table configuration details from Apache Pinot by specifying the table name and type using the provided tool for StarTree MCP Server.Apache 2.0
- Retrieve and filter DAG runs from Apache Airflow with pagination, sorting, and direct UI links for monitoring workflow executions.Apache 2.0
- Resume scheduled execution of an Apache Airflow DAG by setting its paused state to false and returning the workflow's UI link.Apache 2.0
- Find unallocated passive nodes within a specified distance from your current build, sorted by proximity and node type, with optional class filtering to focus on relevant areas of the passive tree.
- Trigger Apache Airflow DAG runs with optional configuration parameters to execute workflows on demand.Apache 2.0
- Retrieve detailed metadata, configuration, and execution history for a specific task instance in Apache Airflow workflows to monitor performance and troubleshoot issues.Apache 2.0
- Retrieve detailed information and UI links for Apache Airflow DAGs using instance identifiers or direct URLs to monitor workflow execution.Apache 2.0
- Find Apache Spark documentation pages by entering keywords, with optional section filters and relevance-ranked results.MIT