# bigquery-mcp

> Use this tool when you need to analyze and query large datasets in Google BigQuery, and want to leverage natural language to browse schemas, run queries, and compare datasets. It solves problems related to data exploration, analysis, and comparison, providing insights through intuitive interfaces. Ideal for use cases where complex data queries need to be simplified through conversational interactions.

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

## Description

Enables AI assistants to query and analyze Google BigQuery data, including schema browsing, running queries, and comparing datasets through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gqaxdmjijl)
- **Repository:** <https://github.com/vozzor/bigquery-mcp>

## 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": "vozzor-bigquery-mcp"
    }
  }
}
```

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