# Google BigQuery

> Google BigQuery — bigquery. Use this tool when you need to analyze large datasets and perform complex queries on massive amounts of data. It solves problems related to data warehousing, business intelligence, and data analytics by allowing users to run SQL queries, manage jobs, and export results. With inputs such as SQL queries and dataset selections, and outputs including query results and data visualizations, it provides a powerful interface for exploring and managing big data.

Canonical page: https://skillsregistry.net/skills/bigquery  
JSON: https://api.skillsregistry.net/v1/skills/bigquery

## Description

Run SQL queries on BigQuery datasets, list tables, and inspect schemas. Manage jobs, export results, and explore data warehouse resources.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/bigquery)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bigquery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bigquery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bigquery/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt