# bq-readonly-mcp

> Use this tool when you need to safely query BigQuery data using SQL, without risking data modification or incurring unexpected costs. It provides a read-only interface with automatic cost guarding and authentication, ideal for use cases involving Large Language Models (LLMs). This tool is suitable for applications requiring controlled access to BigQuery data, such as data analysis or machine learning model training.

Canonical page: https://skillsregistry.net/skills/mariadb-rupeshbiswas-bq-readonly-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mariadb-rupeshbiswas-bq-readonly-mcp

## Description

A read-only BigQuery MCP server with auto-LIMIT injection, dry-run cost guard, and ADC authentication. Allows safe SQL querying of BigQuery by LLMs without risk of data modification or unexpected costs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jup0hytni0)
- **Repository:** <https://github.com/mariadb-RupeshBiswas/bq-readonly-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": "mariadb-rupeshbiswas-bq-readonly-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mariadb-rupeshbiswas-bq-readonly-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mariadb-rupeshbiswas-bq-readonly-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