# Quanti

> Use this tool when you need to access and explore BigQuery data warehouses, generate schema-aware SQL queries, and create reusable analysis templates to drive informed decision-making. It solves problems related to data exploration, team collaboration, and query management, taking BigQuery data as input and producing actionable insights as output. Ideal for data analysts and teams seeking to streamline their workflow and improve data-driven decision-making.

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

## Description

Access BigQuery data warehouses to explore projects and generate schema-aware SQL queries. Create and share reusable business use cases and analysis templates to improve team collaboration. Execute queries directly and manage data insights to drive informed decision-making.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-12

## Source

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

## 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-quantiia"
    }
  }
}
```

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

---
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
