# llm-token-tracker

> Use this tool when you need to monitor and track token usage for OpenAI and Claude APIs, especially in applications utilizing Model Context Protocol (MCP). It solves problems related to cost optimization, API quota management, and usage analytics by providing insights into token consumption. Ideal for developers and businesses relying on AI APIs to optimize their workflows and reduce costs.

Canonical page: https://skillsregistry.net/skills/wn01011-llm-token-tracker  
JSON: https://api.skillsregistry.net/v1/skills/wn01011-llm-token-tracker

## Description

Token usage tracker for OpenAI and Claude APIs with MCP (Model Context Protocol) support.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g46ri7cam7)
- **Repository:** <https://github.com/wn01011/llm-token-tracker>

## 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": "wn01011-llm-token-tracker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wn01011-llm-token-tracker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wn01011-llm-token-tracker/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