This MCP server implementation provides a bridge to Google BigQuery and BigQuery Storage, enabling AI assistants to interact with large-scale data analytics. Developed by keurcien, it offers tools for executing SQL queries, retrieving schema information, and fetching current time. The server is built using Python and integrates with FastMCP, SQLAlchemy, and LangChain. It focuses on efficient data retrieval and analysis from BigQuery datasets. The implementation is designed for easy setup within the Claude Desktop environment and is particularly useful for AI applications requiring access to and analysis of large datasets stored in Google Cloud.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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