google-spanner-mcp-server-by-cdata

google-spanner-mcp-server-by-cdata

3.2

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CData's Model Context Protocol (MCP) Server for Google Spanner is a read-only server designed to allow LLMs to query live data from Google Spanner using natural language.

The CData MCP Server for Google Spanner is a specialized server that facilitates the interaction between large language models (LLMs) and Google Spanner databases. By leveraging the CData JDBC Driver for Google Spanner, this server exposes Google Spanner 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 tools and AI-driven data insights. The server is designed to be read-only, providing a secure and efficient way to access data while maintaining the integrity of the source database. Users can set up the server by cloning the repository, building the server, and configuring the connection to Google Spanner. Once configured, the server can be integrated with AI clients like Claude Desktop, allowing users to ask natural language questions and receive data-driven answers.

Features

  • Read-only access to Google Spanner data
  • Integration with LLMs for natural language querying
  • Utilizes CData JDBC Driver for seamless connectivity
  • Simple setup and configuration process
  • Secure and efficient data retrieval

Tools

  1. source_get_tables

    Retrieves a list of tables available in the data source.

  2. source_get_columns

    Retrieves a list of columns for a specified table.

  3. source_run_query

    Executes a SQL SELECT query on the data source.