google-search-mcp-server-by-cdata

google-search-mcp-server-by-cdata

3.2

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

The CData MCP Server for Google Search is a specialized server that facilitates the interaction between large language models (LLMs) and Google Search data. By leveraging the CData JDBC Driver for Google Search, this server exposes Google Search data as relational SQL models, enabling LLMs to access live information without the need for SQL queries. This server is particularly useful for applications that require real-time data retrieval from Google Search, such as AI-driven analytics and reporting tools. The server is built to be read-only, ensuring data integrity while providing seamless access to up-to-date information. It is designed to work with clients like Claude Desktop, allowing users to ask natural language questions and receive data-driven answers.

Features

  • Real-time data access: Provides live data from Google Search through a simple MCP interface.
  • SQL-free interaction: Allows LLMs to query data using natural language, eliminating the need for SQL knowledge.
  • Easy setup: Simple installation and configuration process with detailed setup guide.
  • Cross-platform compatibility: Works on Windows, Mac, and Linux systems.
  • Integration with Claude Desktop: Seamlessly integrates with AI clients like Claude Desktop for enhanced data interaction.

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.