google-cloud-storage-mcp-server-by-cdata

google-cloud-storage-mcp-server-by-cdata

3.2

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CData's Model Context Protocol (MCP) Server for Google Cloud Storage is designed to facilitate live data querying from Google Cloud Storage using LLMs, without the need for SQL.

The CData MCP Server for Google Cloud Storage is a read-only server that allows large language models (LLMs) to query live data from Google Cloud Storage. It leverages the CData JDBC Driver to expose Google Cloud Storage as relational SQL models, enabling natural language queries. This server is particularly useful for applications like Claude Desktop, where users can interact with data using simple language commands. The server is built to be lightweight and easy to set up, providing a seamless interface for accessing Google Cloud Storage data. By wrapping the JDBC driver, it simplifies the process of data retrieval, making it accessible to users without SQL knowledge. The server is part of a broader suite of tools offered by CData, which includes support for a wide range of data sources.

Features

  • Read-only access to Google Cloud Storage data.
  • Integration with LLMs for natural language querying.
  • Simplified setup using the CData JDBC Driver.
  • Support for a wide range of data sources.
  • Lightweight and easy to configure.

Tools

  1. google_cloud_storage_get_tables

    Retrieves a list of tables available in the data source.

  2. google_cloud_storage_get_columns

    Retrieves a list of columns for a specified table.

  3. google_cloud_storage_run_query

    Executes a SQL SELECT query.