# BigQuery Server

> Use this tool when you need to access and query large datasets in BigQuery, enabling large language models (LLMs) to inspect database schemas and execute queries. It solves problems related to data analysis and retrieval, providing a Model Context Protocol server interface for inputting queries and outputting results. Ideal for use cases requiring data-driven insights and automation, such as data science and business intelligence applications.

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

## Description

A Model Context Protocol server that provides access to BigQuery, enabling LLMs to inspect database schemas and execute queries.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mcp-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": "mcp-server-bigquery"
    }
  }
}
```

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