bonnardofficial
A
license-
qualityF
maintenanceOpen-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.
Last updated
28
Apache 2.0
Best Google BigQuery MCP Servers
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.
Why this server?
Provides an interface for AI agents to query Google BigQuery datasets using consistent metric definitions.
Why this server?
Enables querying of Google BigQuery databases through Alkemi, with automatic schema metadata management and query generation for data retrieval.
Alkemi MCP Serverofficial
Alicense-qualityDmaintenanceConnects 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.Last updated74MITWhy this server?
Enables querying and retrieving live data from Google BigQuery by exposing Google BigQuery data as relational SQL models, allowing users to interact with their BigQuery data through natural language questions without writing SQL directly.
Alicense-qualityDmaintenanceGoogle BigQuery MCP Server by CDataLast updatedMITWhy this server?
Allows connecting to Google BigQuery datasets to execute queries, browse schemas, and explore tables.
Alicense-qualityDmaintenanceUniversal 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.Last updated29MITWhy this server?
Provides tools for exploring BigQuery datasets, inspecting table schemas, generating SQL queries with natural language assistance, and executing queries to analyze BigQuery data.
Alicense-qualityDmaintenanceEnables natural language exploration and querying of Google BigQuery datasets through four tools: listing datasets, inspecting table schemas, generating SQL queries with LLM assistance, and executing approved queries.Last updated1MITWhy this server?
Enables AI agents to interact with Google BigQuery databases, including listing tables, retrieving schemas, and executing SQL queries.
Alicense-qualityCmaintenanceEnables AI agents to interact with Google BigQuery databases through natural language queries and schema exploration.Last updated10MITWhy this server?
Enables interaction with Google BigQuery datasets, tables, schemas, and queries, including listing datasets and tables, retrieving schemas, dry-running and executing SQL queries.
Alicense-qualityDmaintenanceA Model Context Protocol (MCP) server that enables LLMs to interact with Google BigQuery.Last updatedMITWhy this server?
Enables interaction with Google BigQuery to execute read-only SQL queries, list datasets and tables, inspect table schemas, retrieve sample data, and estimate query costs, allowing AI agents to analyze data stored in BigQuery.
Alicense-qualityDmaintenanceA Model Context Protocol server that enables LLMs to understand BigQuery dataset structures and execute SQL queries.Last updated135MITWhy this server?
Executes SQL queries against Google BigQuery and streams results to CSV or Parquet via ConnectorX.
Alicense-qualityCmaintenanceExecutes SQL queries via ConnectorX and streams results to CSV or Parquet files, supporting multiple databases and optional token counting for CSV output.Last updated1MIT