BigQuery MCP Server
by ergut
The BigQuery MCP Server allows LLMs like Claude to directly interact with your BigQuery data. It acts as a translator between your AI assistant and your database, ensuring secure and efficient communication.
Last updated: N/A
What is BigQuery MCP Server?
This server enables LLMs to query BigQuery data using natural language. It leverages the Model Context Protocol (MCP) to facilitate communication between the AI model and the database.
How to use BigQuery MCP Server?
- Set up authentication with Google Cloud. 2. Add your project details to Claude Desktop's config file. 3. Start chatting with your BigQuery data through Claude Desktop.
Key features of BigQuery MCP Server
Run SQL queries using natural language
Access tables and materialized views
Explore dataset schemas with clear labeling
Analyze data within safe limits (1GB query limit)
Secure read-only access
Use cases of BigQuery MCP Server
Asking questions about sales data
Analyzing customer behavior
Generating reports from database information
Exploring trends in datasets
FAQ from BigQuery MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a universal translator for AI-database communication.
Which LLMs are supported?
Which LLMs are supported?
Currently, MCP support is only available in Claude Desktop (developer preview).
What are the limitations?
What are the limitations?
Connections are limited to local MCP servers, queries are read-only with a 1GB limit, and some complex view types might have limitations.
What permissions are needed?
What permissions are needed?
You need either roles/bigquery.user or both roles/bigquery.dataViewer and roles/bigquery.jobUser.
How do I authenticate with Google Cloud?
How do I authenticate with Google Cloud?
You can authenticate using Google Cloud CLI or a service account key file.