BigQuery
About
Explore, query, and manage data in Google BigQuery.
Details
- Author
- sweatco
- Categories
- Database, Other
Jump to
Setup
Install BigQuery in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/sweatco/mcp-server-bigquery
Follow the installation instructions in the repository README, then restart your MCP client.
Access and cache Google Cloud BigQuery metadata.
Access Google BigQuery to understand dataset structures and execute SQL queries.
Execute and validate SQL queries against Google BigQuery. It safely runs SELECT queries under 1TB and returns results in JSON format.
A secure, self-hosted Model Context Protocol (MCP) server for Google BigQuery. Hard table allowlists, per-query scan ceilings, built-in rate limiting, and predictable costs on Cloud Run. Works with Claude, ChatGPT, Cursor, Gemini, and any MCP-compatible AI agent.
Unified MCP server giving AI coding agents direct access to your databases: 70+ SQL databases via SqlKit (PostgreSQL, MySQL, SQL Server, SQLite, ClickHouse, Snowflake, BigQuery) and NoSQL via DocKit (Elasticsearch, MongoDB, DynamoDB). Local-first: credentials never leave your machine, read-only by default, 79 tools.
Turn SQL templates + YAML into REST APIs and MCP tools — one static binary with embedded DuckDB (Parquet, Postgres, BigQuery, S3 and 50+ sources), per-tool RBAC, and DuckLake caching.
LangGrant turns AI data questions into reusable, governed Data Plans, joining data across multiple databases (Snowflake, Oracle, Postgres, BigQuery and more) and plugging into your MCP tools.
Securely access BigQuery datasets with intelligent caching, schema tracking, and query analytics via Supabase integration.
Create and monitor AI marketing-automation tasks across Google Ads, GA4, BigQuery and more, from any MCP client.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
