Connect your account, then chat with AI to run tools.
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.
You’ll sign in to MCPBundles when your client connects.
https://mcp.mcpbundles.com/bundle/bigqueryThis server needs a sign-in. MCPBundles handles that setup once — then chat here with saved access and a log of what ran.
Live probe refreshed Sep 14, 2026 · Endpoint host mcp.mcpbundles.com
Domain 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.
Bigquery Execute
Execute write operations on BigQuery (INSERT, UPDATE, DELETE, DDL). Changes are permanent.
Bigquery Get AI Description
Get compact, AI-friendly description of BigQuery project structure.
Bigquery Get Table Schema
Get detailed schema for a BigQuery table.
Connect Google BigQuery to any MCP client in minutes
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsBigquery Get Table Stats
Get statistics for a BigQuery table including row count and size.
Bigquery List Datasets
List all datasets in a BigQuery project.
Bigquery List Rows
List rows from a BigQuery table with filtering and pagination.
Bigquery List Tables
List tables in a BigQuery dataset.
Bigquery Preview Table
Preview first N rows from a BigQuery table.
Fetch
Fetch BigQuery table metadata by ID.
Search
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.
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MCPBundles is an independent platform built on the open Model Context Protocol standard. Not affiliated with Anthropic PBC or Claude.
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