AI Agent for BigQuery MCP
Seamlessly connect your LLMs to Google BigQuery with the Model Context Protocol (MCP) server. Effortlessly inspect database schemas, list tables, and execute advanced SQL queries in real time—unlocking the power of BigQuery for fast analytics and intelligent automation. Boost productivity, accelerate insights, and enhance data-driven decision-making with secure, scalable integration.
Real-Time BigQuery Database Management
Empower your AI workflows to directly manage and query Google BigQuery databases. List tables, inspect schema details, and run SQL queries instantly through a streamlined interface, eliminating manual overhead and accelerating business intelligence.
- List Tables Instantly.
- Automatically retrieve and display all tables in your BigQuery projects for rapid schema exploration.
- Describe Table Schemas.
- Gain detailed insights into the schema of any BigQuery table, supporting smarter queries and analysis.
- Execute BigQuery SQL.
- Directly run SQL queries using the BigQuery dialect, streamlining data retrieval and analytics.
- Secure Credential Handling.
- Configure with environment variables or key files for robust, enterprise-grade security.
Flexible Configuration & Easy Deployment
Deploy the BigQuery MCP server effortlessly in your environment. Configure using command line arguments or environment variables for maximum flexibility—supporting both development and production needs.
- Command Line & Env Setup.
- Choose between environment variables or CLI arguments for quick, adaptable configuration.
- Cloud-Native Ready.
- Optimized for GCP projects with support for specifying project, location, and datasets.
- Custom Key File Support.
- Integrate service account key files for advanced access control and security.
Seamless Integration & Developer Tools
Install via Smithery or configure manually for Claude Desktop. Use the MCP Inspector for fast debugging and diagnostics, ensuring smooth AI and data workflow integration in any environment.
- Smithery Auto-Install.
- Deploy BigQuery MCP server in seconds via npx Smithery for Claude Desktop.
- Integrated MCP Inspector.
- Debug and monitor server activity with the dedicated MCP Inspector tool.
MCP INTEGRATION
Available BigQuery MCP Integration Tools
The following tools are available as part of the BigQuery MCP integration:
- execute-query
Executes a SQL query using the BigQuery dialect and returns the results from your database.
- list-tables
Lists all tables available in the configured BigQuery database so you can discover data sources.
- describe-table
Describes the schema of a specific BigQuery table, including column names and types.
Connect BigQuery with LLMs Instantly
Deploy the BigQuery MCP server to enable your language models to explore database schemas, run queries, and unlock powerful data insights—securely and seamlessly.
What is MCP Server BigQuery
MCP Server BigQuery, developed by LucasHild, is a Model Context Protocol server that acts as a secure and streamlined bridge between Large Language Models (LLMs) and Google BigQuery databases. This open-source solution allows LLMs to safely inspect database schemas and execute SQL queries on BigQuery in a controlled, read-only environment. By providing this secure interface, MCP Server BigQuery enables organizations to leverage advanced AI and LLM capabilities to analyze and interact with their data warehouses, all while maintaining robust security and minimizing risk of data modification.
Capabilities
What we can do with MCP Server BigQuery
MCP Server BigQuery empowers users and AI agents to seamlessly query, inspect, and analyze BigQuery datasets through a Model Context Protocol interface. It enables integration with LLMs for data-driven applications and analytics while maintaining data security.
- Schema Inspection
- Allows LLMs to securely review and understand the structure of BigQuery datasets.
- Read-Only SQL Querying
- Execute safe, read-only SQL queries on BigQuery data warehouses via an API.
- AI-driven Analytics
- Enable LLMs to generate insights and perform advanced analytics directly on BigQuery datasets.
- Integration with Data Apps
- Easily connect data-driven applications and workflows to BigQuery through MCP.
- Secure Data Access
- Ensures robust access controls, preventing unauthorized data modification or exposure.
How AI Agents Benefit from MCP Server BigQuery
AI agents and LLMs can leverage MCP Server BigQuery for secure, programmatic access to enterprise data warehouses. This empowers agents to automate data exploration, generate insights, and perform analytics without direct database credentials, ensuring both efficiency and security.