# Google BigQuery — MCP server on mcp.ai
> Google BigQuery is a fully managed data warehouse for large-scale data analytics, offering fast SQL queries and machine learning capabilities on massive datasets

By: mcp.ai · official
Page: https://mcp.ai/googlebigquery

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_googlebigquery?ms=1781542260000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/googlebigquery/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/googlebigquery/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/googlebigquery/skill.md
Postman collection (v2.1): https://mcp.ai/googlebigquery/postman.json

## Tools
- googlebigquery_query(query: string) — Query tool will run a sql query in bigquery. note: make sure the query being input in a single line format. for example, select * from sample dataset.sample table where column name = 'value'

## Links
Docs: https://mcp.ai/docs/mcps/googlebigquery
Website: https://mcp.ai/mcps/googlebigquery