"Apache Spark" matching MCP servers:

Exposes Spark History Server data as tools for AI agents, enabling natural language querying of Spark applications, jobs, stages, and performance metrics.

Enables read-only Spark SQL queries against Apache Iceberg tables, allowing LLM clients to inspect schemas and run SELECT-style queries on HDFS/S3 data without Hive or Impala.

An MCP server that optimizes Apache Spark code using Claude AI, providing intelligent code optimization suggestions and performance analysis.

Search and discover AI agents, skills, prompts, bundles and MCP connectors from a curated catalog of 4500+ assets. Provides tools for searching, browsing categories, and accessing detailed information about each asset.

Enables querying and managing Apache Druid datasources through natural language, including SQL queries, datasource exploration, and cluster connectivity testing.

Connects LLM agents to Apache Atlas for searching, tracing lineage, and managing metadata. Read-only by default, with optional write mode for creating entities and classifications.

Enables LLM agents to query Apache Hive/HiveServer2 by listing tables and running read-only SQL, with results returned as JSON.

Official MCP server for Apache Drill, enabling read-only SQL queries and inspection of schemas, storage plugins, and cluster/query state.

An MCP server that enables users to interact with Apache Doris databases through natural language, supporting query and management operations.

Backend service implementing the Model Control Panel protocol that connects to Apache Doris databases, allowing users to execute SQL queries, manage metadata, and potentially leverage LLMs for tasks like natural language to SQL conversion.

A Model Context Protocol server that provides seamless access to multiple storage services including S3, Azure Blob Storage, and Google Cloud Storage through Apache OpenDAL™.

Connects LLM clients to Apache Superset for querying charts, dashboards, datasets, databases, and executing SQL.

Read-only MCP server for accessing Spark/Ordernet brokerage accounts, including Meitav Trade, Psagot, IBI, Nesua, and Gaon. Enables querying holdings, transactions, orders, returns, security lookup, price history, standing orders, and market news via natural language.

Provides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health.

A FastMCP integration server that provides access to Apache Gravitino metadata management APIs, allowing users to manage catalog/schema/table metadata, tags, and user-role information through a structured interface.

Natural 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.

Turns an organization's scattered work signals into a living, cited knowledge base that any MCP client can query. Enables hybrid search over knowledge pages, grounded answers with inline citations, entity profiles, and pushing new signals into the same ingestion pipeline.

An MCP server that enables AI assistants to query Spark SQL clusters via the Thrift/HiveServer2 protocol.

Enables LLMs to read and analyze Spark History Server data, including jobs, stages, executors, and SQL executions, to diagnose failures and optimize performance.

An MCP server that wraps the Apache Airflow REST API, enabling clients to manage DAGs, monitor task instances, and handle workflows through a standardized interface. It provides comprehensive access to Airflow features including DAG runs, variables, connections, and XComs.