Google BigQuery is a fully managed cloud data warehouse for fast SQL analytics on massive datasets. It's designed to help you analyze big data with ease, speed, and built-in machine learning.
Category
analytics & data
1 TOOLS
Supported Tools
Tools
Connect Google BigQuery MCP Tool with your Agent
Python
TypeScript
Connect Google BigQuery API Tool with your Agent
Python
TypeScript
Why Use Composio?
1
AI Native Google BigQuery Integration
- Supports both Google BigQuery MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Google BigQuery data
2
Managed Auth
- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Google BigQuery access
- Per user and per environment credentials instead of hard-coded keys
3
Agent Optimized Design
- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf
4
Enterprise Grade Security
- Fine-grained RBAC so you control which agents and users can access Google BigQuery
- Scoped, least privilege access to Google BigQuery resources
- Full audit trail of agent actions to support review and compliance
Explore Other Toolkits
Frequently Asked Questions
Do I need my own developer credentials to use Google BigQuery with Composio?
Yes, Google BigQuery requires you to configure your own Google Service Account credentials. Once set up, Composio handles secure credential storage and management for you.
Can I use multiple toolkits together?
Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.
Is Composio secure?
Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.
What if the API changes?
Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.










