DataAnalytics
5 stars
Custom
Free and open-source (Note: Google BigQuery has its own pricing based on usage)
12/5/2024
About
Unlock the power of massive data analysis with this sophisticated Model Context Protocol server that seamlessly integrates with Google BigQuery. This implementation enables AI models to execute complex queries, analyze petabytes of data, and generate insights from massive datasets while leveraging BigQuery's serverless architecture and lightning-fast query engine, making it perfect for enterprise-scale data analytics and business
Setup Instructions
Clone the repository: bashCopygit clone https://github.com/LucasHild/mcp-server-bigquery.git Navigate to project directory: bashCopycd mcp-server-bigquery Install dependencies: bashCopypip install -r requirements.txt Configure Google Cloud: Create Google Cloud Project Enable BigQuery API Set up service account Download credentials Environment setup: Create .env file Add credentials path: GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json Configure project settings Run the server: bashCopypython main.py Note: Requires Google Cloud account and BigQuery access
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