# BigQuery MCP

> Use this tool when you need to access and analyze large datasets in Google BigQuery databases using natural language queries. It solves problems of complex query formulation and data exploration, allowing AI agents to retrieve specific data and insights. The tool accepts natural language inputs and returns relevant data outputs, making it ideal for use cases where simplicity and ease of use are crucial.

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

## Description

Enables AI agents to interact with Google BigQuery databases through natural language queries and schema exploration.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s5kve40tgn)
- **Repository:** <https://github.com/SnowLeopard-AI/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": "snowleopard-ai-bigquery-mcp"
    }
  }
}
```

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