mcp-bigquery-server
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BigQuery MCP Server allows LLMs like Claude to interact directly with BigQuery data, facilitating natural language queries and secure data access.
The BigQuery MCP Server acts as a bridge between language models and BigQuery databases, enabling users to query their data using natural language instead of SQL. This server leverages the Model Context Protocol (MCP) to facilitate seamless communication between AI models and databases. It is currently available as a developer preview in Claude Desktop. Users can set up authentication, configure their project details, and start querying their BigQuery data naturally. The server supports running SQL queries, accessing tables and views, exploring dataset schemas, and analyzing data within safe limits, all while maintaining data security with read-only access.
Features
- Natural Language Queries: Run SQL queries by asking questions in plain English.
- Dataset Access: Access both tables and materialized views in your datasets.
- Schema Exploration: Explore dataset schemas with clear labeling of resource types.
- Data Security: Keep your data secure with read-only access.
- Query Limits: Analyze data within safe limits with a 1GB query limit by default.
