MCP server for secure BigQuery access across multiple Google Cloud projects, enabling querying, schema exploration, and data analysis with SQL validation and read-only controls.
Production-ready MCP server for BigQuery that translates natural language questions to SQL, executes queries securely, and delivers results via stdio or HTTP for integration with GitHub Copilot, Power BI, and web applications.
A read-only BigQuery MCP server with auto-LIMIT injection, dry-run cost guard, and ADC authentication. Allows safe SQL querying of BigQuery by LLMs without risk of data modification or unexpected costs.
Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.
A Python MCP server that retrieves and caches BigQuery metadata (datasets, tables, columns) and enables secure SQL query execution with cost control, file export, and keyword search.
A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.