Use Studio chat to drive this server — credentials stay in your workspace.
Google BigQuery is a serverless, highly scalable data warehouse with built-in machine learning capabilities. Run SQL queries on massive datasets, perform real-time analytics, integrate machine learning models, and analyze petabytes of data with automatic scaling and optimization for business intelligence and data science.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsDomain knowledge for Google BigQuery — workflow patterns, data models, and gotchas for your AI agent.
BigQuery uses project/dataset/table hierarchy. Run SQL, list datasets/tables, preview rows. Auth via service account JSON.
Execute write operations on BigQuery (INSERT, UPDATE, DELETE, DDL). Changes are permanent.
Get compact, AI-friendly description of BigQuery project structure.
Get detailed schema for a BigQuery table.
Get statistics for a BigQuery table including row count and size.
List all datasets in a BigQuery project.
List rows from a BigQuery table with filtering and pagination.
List tables in a BigQuery dataset.
Preview first N rows from a BigQuery table.
Fetch BigQuery table metadata by ID.
Execute SQL queries on BigQuery. Returns query results with column names and values. Maximum 1000 rows.
Google BigQuery is a serverless, highly scalable data warehouse with built-in machine learning capabilities. Run SQL queries on massive datasets, perform real-time analytics, integrate machine learning models, and analyze petabytes of data with automatic scaling and optimization for business intelligence and data science. It provides 10 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/bigquery. Authentication is handled automatically.
Google BigQuery provides 10 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
Google BigQuery uses API Key. Google BigQuery requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect Google BigQuery to any MCP client in minutes
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.
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