# BigQuery FinOps MCP Server

> Use this tool when you need to optimize costs and manage financial operations for Google BigQuery. It provides insights into spending and usage patterns, and offers cost management recommendations through natural language interactions. Ideal for users seeking to streamline their BigQuery expenses and make data-driven financial decisions.

Canonical page: https://skillsregistry.net/skills/urfanazad-bq-mcp-optimiser  
JSON: https://api.skillsregistry.net/v1/skills/urfanazad-bq-mcp-optimiser

## Description

Enables cost optimization and financial operations for Google BigQuery through natural language interactions. Provides insights into BigQuery spending, usage patterns, and cost management recommendations.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vgvcv1wxxd)
- **Repository:** <https://github.com/urfanazad/BQ_AZURE_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": "urfanazad-bq-mcp-optimiser"
    }
  }
}
```

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