"Hive" matching MCP servers:

Enables LLM agents to query and explore Cloudera Hive virtual warehouses through tools like list_databases, list_tables, describe_table, get_table_sample, and execute_query with read-only safety.

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

Provides read-only SQL access to Apache Iceberg tables via HiveServer2, enabling querying, schema discovery, and database listing on Cloudera Data Platform.

This read-only MCP Server allows you to connect to Apache Hadoop Hive data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables AI assistants to manage Google Cloud Dataproc clusters and jobs through a standardized interface. Supports cluster creation/deletion, job submission (Spark, PySpark, Hive, etc.), and serverless batch operations.

An MCP (Multi-Agent Conversation Protocol) Server that provides access to Google Cloud's Dataproc Metastore API, enabling AI agents to manage and interact with Hive metastore services through natural language.

Enables local Claude Code to interact with Snowflake, Asana, M365, GitHub, and Hive Mind with automatic response truncation to prevent memory overload.

Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.

A Model Context Protocol (MCP) server that provides integration with the Have I Been Pwned API to check if your accounts or passwords have been compromised in data breaches.

This MCP server enables AI models to directly and securely query databases using persistent or temporary connections, supporting multiple data sources with automatic connection management.

Enables querying and management of live Firebase projects, providing access to Firestore collections and documents. It also allows users to retrieve and filter Cloud Function logs directly through the Model Context Protocol.

Two MCP servers for a live demo: a clinical server for patient lookup, labs, and drug safety checks, and a data explorer server for querying a sales database.