hdfs-mcp-server-by-cdata
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CData's Model Context Protocol (MCP) Server for HDFS is a read-only server designed to allow LLMs to query live data from HDFS using natural language.
The CData MCP Server for HDFS is a specialized server that facilitates the interaction between large language models (LLMs) and Hadoop Distributed File System (HDFS) data. By leveraging the CData JDBC Driver for HDFS, this server exposes HDFS data as relational SQL models, enabling LLMs to access and query live data without the need for SQL knowledge. This server is particularly useful for applications that require real-time data retrieval and analysis, such as business intelligence, data analytics, and machine learning. The server is designed to be easy to set up and use, providing a seamless interface for LLMs to interact with HDFS data through natural language queries. This capability is crucial for organizations looking to harness the power of AI to gain insights from their data stored in HDFS.
Features
- Read-only access to HDFS data through a simple MCP interface.
- Integration with CData JDBC Driver for HDFS to expose data as relational SQL models.
- Enables LLMs to query live data using natural language without SQL.
- Supports a wide range of data sources through CData's extensive driver library.
- Easy setup and configuration for seamless integration with AI clients.
Tools
hdfs_get_tables
Retrieves a list of tables available in the data source.
hdfs_get_columns
Retrieves a list of columns for a specified table.
hdfs_run_query
Executes a SQL SELECT query on the data source.