BigQuery MCP Server

What is BigQuery MCP Server? BigQuery MCP Server is a Model Context Protocol (MCP) server designed to facilitate access to Google BigQuery, enabling Large Language Models (LLMs) to comprehend BigQuery dataset structures and execute SQL queries. How to use BigQuery MCP Server? To use the server, you can either install it locally or run it in a Docker container. After installation, configure it with your Google Cloud project ID and authentication credentials, then use the provided tools to execute queries or list datasets and tables. Key features of BigQuery MCP Server? Supports Application Default Credentials and service account key files for authentication. Tools for executing SQL queries, listing datasets, and retrieving table information. Security features to ensure only read-only access and prevent excessive costs. Use cases of BigQuery MCP Server? Executing SQL queries to retrieve data from BigQuery. Listing all datasets and tables for data exploration. Validating queries without execution to estimate costs. FAQ from BigQuery MCP Server? What types of queries can I execute? Only read-only (SELECT) queries are allowed to ensure data security. How do I authenticate? You can authenticate using Application Default Credentials or a service account key file. Is there a limit on query processing? Yes, there is a default limit of 500GB for query processing to prevent excessive costs.

As an MCP (Model Context Protocol) server, BigQuery MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, you can either install it locally or run it in a Docker container. After installation, configure it with your Google Cloud project ID and authentication credentials, then use the provided tools to execute queries or list datasets and tables. Key features of BigQuery MCP Server? Supports Application Default Credentials and service account key files for authentication. Tools for executing SQL queries, listing datasets, and retrieving table information. Security features to ensure only read-only access and prevent excessive costs. Use cases of BigQuery MCP Server? Executing SQL queries to retrieve data from BigQuery. Listing all datasets and tables for data exploration. Validating queries without execution to estimate costs. FAQ from BigQuery MCP Server? What types of queries can I execute? Only read-only (SELECT) queries are allowed to ensure data security. How do I authenticate? You can authenticate using Application Default Credentials or a service account key file. Is there a limit on query processing? Yes, there is a default limit of 500GB for query processing to prevent excessive costs.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.