BigQuery
Google BigQuery integration for read-only SQL queries, schema exploration, and large-scale data warehouse analytics.
BigQuery is a community maintained MCP server developed by Lucas Hild in the Data category. Google BigQuery integration for read-only SQL queries, schema exploration, and large-scale data warehouse analytics. Built with Python and communicating over stdio transport, it integrates with AI assistants via the Model Context Protocol. Install via pip with `pip install mcp-server-bigquery`. The project has 123 GitHub stars.
Features
Category
Sqlite
Database interaction and business intelligence capabilities
Memory
Knowledge graph-based persistent memory system
PostgreSQL
Read-only database access with schema inspection
Supabase
Interact with Supabase: Create tables, query data, deploy edge functions, manage auth, storage, and more.
Qdrant
Implement semantic memory layer on top of the Qdrant vector search engine
MySQL
MySQL database integration with configurable access controls, schema inspection, and comprehensive security guidelines.