Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL.
Provides read-only access to Google BigQuery, enabling discovery of datasets, tables, schemas, partitioning, freshness, scheduled queries, notebooks and code assets, and execution of validated SELECT queries under the user's Google credentials.
A read-only Model Context Protocol server over Google BigQuery that lets AI clients answer plain-language data questions by discovering schemas, inspecting table freshness and code assets, and running validated SELECT queries under the user's own Google credentials.
14
22 PyPI
2
MIT
Why this server?
Enables AI agents to interact with Google BigQuery databases, including listing tables, retrieving schemas, and executing SQL queries.
Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.
38 npm
4
MIT
Why this server?
Enables execution of SQL queries against Google BigQuery with safety features including query validation, size estimation, rejection of data modification queries, and prevention of large data processing over 1TB.
A server that enables executing and validating SQL queries against Google BigQuery with safety features that prevent data modifications and excessive processing.
2
2
-
Why this server?
Provides an interface for AI agents to query Google BigQuery datasets using consistent metric definitions.
Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.
28
Apache 2.0
Why this server?
Allows connecting to Google BigQuery datasets to execute queries, browse schemas, and explore tables.
Universal Database MCP Server enabling AI assistants to connect and query multiple databases including Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB through a unified interface.
59 npm
MIT
Why this server?
Supports connecting to Google BigQuery for read-only querying, catalog browsing, and data profiling.
Production MCP server for data warehouses with read-only enforcement, five-tier role-based access, audit logging, PII masking, and optional semantic metadata layer.
71 npm
Apache 2.0
Why this server?
Provides tools for listing BigQuery datasets, tables, schemas, and executing read-only queries with built-in policy enforcement (LIMIT, maximumBytesBilled) to prevent data exfiltration.
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.
