Apache Hadoop Hive MCP Server by CData

What is Apache Hadoop Hive MCP Server by CData?

This read-only MCP server allows LLMs like Claude Desktop to query live data from Apache Hadoop Hive using the CData JDBC Driver for Apache Hadoop Hive. It wraps the driver and exposes Hive data through a simple MCP interface so users can ask natural language questions without writing SQL.

How to use Apache Hadoop Hive MCP Server by CData?

Clone the repository, build it with mvn clean install, download and license the CData JDBC Driver, generate a JDBC connection string, and create a .prp file with your connection details. Then add the server to your client’s mcpServers configuration (e.g., claude_desktop_config.json) and restart the client.

Key features of Apache Hadoop Hive MCP Server by CData?

• Query Apache Hadoop Hive data via natural language
• Read-only access – no write, update, or delete
• Built on CData JDBC Driver for Hive
• Exposes get_tables, get_columns, and run_query tools
• Uses stdio transport – same machine as client required
• MIT License – free to use and modify

Use cases of Apache Hadoop Hive MCP Server by CData?

• Ask an LLM to find correlations between fields in Hive tables
• Retrieve recent ticket counts from Hive-hosted project data
• Get daily event summaries from Hive-stored calendars
• Explore Hive schemas without manual SQL queries

FAQ from Apache Hadoop Hive MCP Server by CData

Is this server read-only?

Yes. The project explicitly builds a read-only MCP server. For full CRUD capabilities, CData offers a separate beta MCP Server.

What do I need to run it?

You need Java, Maven, and the CData JDBC Driver for Apache Hadoop Hive (with a license or trial key).

How do I configure authentication?

Authentication is handled through the JDBC connection string. If the data source uses OAuth, the Connection String utility will prompt for browser-based authentication.

What transport does the server use?

The server uses stdio transport, so it can only be used with clients running on the same machine.

Where can I get help?

Contact the CData Support Team or join the CData Community for troubleshooting and feedback.