# Gemini Token Usage

> Use this tool when you need to track AI workload costs and manage token budgets across Google Cloud projects. It retrieves Gemini and Vertex AI token consumption metrics, providing insights into monthly and time-range usage sums via Cloud Monitoring API and detailed billing data through BigQuery exports. Ideal for discovering available metrics, querying usage, and optimizing token usage to control costs.

Canonical page: https://skillsregistry.net/skills/mugendainayumeatono-gemini-token-usage  
JSON: https://api.skillsregistry.net/v1/skills/mugendainayumeatono-gemini-token-usage

## Description

Retrieves Gemini and Vertex AI token consumption metrics from Google Cloud projects. Provides four tools for discovering available metrics, querying monthly and time-range usage sums via Cloud Monitoring API, and accessing precise billing data through BigQuery exports. Useful for tracking AI workload costs and token budgets across Google Cloud projects.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/mugendainayumeatono-gemini-token-usage)
- **Repository:** <https://github.com/mugendainayumeatono/get_gemini_usage_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": "mugendainayumeatono-gemini-token-usage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mugendainayumeatono-gemini-token-usage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mugendainayumeatono-gemini-token-usage/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