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Lucashild MCP Server Bigquery
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Lucashild MCP Server Bigquery

An MCP server that provides access to BigQuery databases, supporting functions such as query execution and table structure viewing
DatabaseDeveloper tools#Database Query#BigQuery#MCP Protocol#Data Architecture.Python
2 points
5.9K
Open Site

Overview

Content Details

Alternatives

What is BigQuery MCP Server?

The BigQuery MCP Server is a bridge between language models and Google's BigQuery data warehouse. It allows AI models to explore database structures and retrieve data through SQL queries without needing direct database access.

How to use BigQuery MCP Server?

The server runs as a background service that your AI application can communicate with. It provides three main functions: listing available tables, showing table structures, and running SQL queries.

Use Cases

Ideal for AI applications that need to analyze business data, generate reports, or answer data-driven questions by querying large datasets in BigQuery.

Key Features

Query Execution
Run SQL queries in BigQuery dialect and get results in a format that AI models can understand.
Schema Exploration
Discover available tables and their structures to help construct proper queries.
Dataset Filtering
Optionally limit access to specific datasets for better security and performance.
Advantages
Secure way for AI to access BigQuery data without direct credentials
Simplifies complex database interactions for language models
Supports filtering datasets for focused access
Limitations
Requires Google Cloud Platform setup
Limited to BigQuery's SQL dialect features
Needs proper configuration for optimal performance

Getting Started

Install the Server
Configure your Claude application to run the MCP server by editing the configuration file.
Set Up Credentials
Ensure you have proper GCP credentials with BigQuery access.
Configure Server
Specify your GCP project and location when starting the server.
Start Querying
Your AI application can now use the server to explore and query data.

Example Use Cases

Sales Data Analysis
An AI assistant queries monthly sales figures to generate a performance report.
Customer Segmentation
The AI explores customer data tables to identify different customer segments.

Frequently Asked Questions

What permissions does the server need in GCP?
Can I limit which tables are accessible?
How do I debug query issues?

Additional Resources

Google BigQuery Documentation
Official BigQuery documentation and guides
MCP Inspector GitHub
Tool for debugging MCP server interactions
Google Cloud IAM Guide
Information on setting up proper permissions

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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