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BigQuery MCP servers and agent skills

27 MCP servers and 52 agent skills connect AI assistants to BigQuery. Includes Google's official listings.

Google Cloud's serverless data warehouse for SQL analytics at scale.

27 MCP servers52 skills17 officialGoogle

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All listings

79

Sorted: official first, then quality and activity.Show all, including less active listings

How AI connects to BigQuery

BigQuery's core API manages datasets, tables, jobs and routines, and its Storage API provides high-throughput reads of table data; Google provides client libraries for C#, Go, Java, Node.js, PHP, Python and Ruby. Callers authenticate with Application Default Credentials, service account keys or user credentials. Google documents a remote BigQuery MCP server at bigquery.googleapis.com/mcp that uses OAuth 2.0 and IAM, with tools to list datasets and tables and run SQL.

From the vendor's documentation: BigQuery APIs and libraries overview, Use the BigQuery MCP server

Guides:MCP servers vs agent skillsConnecting MCP servers to AI clients

Questions

Is there an official BigQuery MCP server?
Yes. 17 listings for BigQuery are published by the tool's vendor, marked Official in the table above with a link to the evidence.
Can Claude use BigQuery?
Yes, through an MCP server. 27 MCP servers connect Claude and other AI assistants to BigQuery; each listing shows how it connects and how to install it.
Are there agent skills for BigQuery?
Yes: 52 skills are listed. Skills are folders of instructions (and sometimes scripts) that an agent loads when a task needs them.
Which AI clients do BigQuery servers and skills support?
The listings on this page most often document claude-code, claude-desktop, gemini-cli, codex. Each listing shows the clients its own documentation names.