Nikhilnt

See where your AI tokens go — and how to spend less of them.

npm npm downloads License: MIT Node ≥22

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TokenBurnRate is an MCP server + CLI that logs every Claude / GPT / Gemini API call locally, shows you a cost dashboard in your terminal, and tells you exactly how to reduce that cost.

  ⬡ token-tracker  LAST 7 DAYS
────────────────────────────────────────────────────────────────────────

  Overview
  Total cost          $18.7421   (~$80.59/month est.)
  API calls           347
  Input tokens        4.82M
  Cache reads         620K  (11.4% hit rate)

  Daily Cost
  Mon Jun 02  ████████████░░░░░░░░░░░░   $2.14
  Tue Jun 03  ████████████████████░░░░   $3.82
  Thu Jun 05  ████████████████████████   $4.51

  💡 Optimization Hints               saves $31.20/mo
  ● CRIT  Prompt cache barely used
          Cache hit rate: 11.4% — target is 30–60%
          Action: Move static content to top of messages
          Est. saving: $12.40/month

  ● HIGH  Expensive model doing test generation
          104 test-gen calls on Sonnet costing $2.25/week
          Action: Route to claude-haiku-4-5, saves 80%
          Est. saving: $7.80/month

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Install

npm install -g token-tracker-mcp

Or run without installing:

npx token-tracker-mcp report

Add to Claude Desktop

node scripts/setup.js

Or add manually to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "token-tracker": {
      "command": "token-tracker",
      "args": ["serve"]
    }
  }
}

Restart Claude Desktop. Done.

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CLI Commands

Command	Description
token-tracker report	Full 7-day dashboard
token-tracker report --period month	Monthly report
token-tracker today	Today only
token-tracker hints	Optimization hints ranked by $ saving
token-tracker hint <id>	Deep-dive on one hint
token-tracker status	One-line: cost · cache % · top hint
token-tracker budget	Budget gauges
token-tracker models	Pricing table for all models
token-tracker export > out.csv	Raw CSV export

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MCP Tools (use inside Claude)

Tool	Description
log_usage	Log an API call — auto-calculates cost
get_summary	Summary for today / week / month / all
get_hints	Ranked optimization hints with $ savings
get_hint_detail	Deep-dive on a specific hint
set_budget	Set a daily / weekly / monthly spend limit
list_sessions	Sessions ranked by cost
list_models	Pricing table
export_csv	CSV dump

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Optimization Hints Engine

8 deterministic rules — no LLM calls, runs instantly on your local data:

Hint	Triggers when
cache-utilization	Cache hit rate < 30%
model-swap-testing	Test gen running on Sonnet / Opus
model-swap-debug	Debugging on Opus
verbose-outputs	Output / input ratio > 0.35
session-spike	Any session costs 3× your average
context-bloat	Avg tokens / call > 8K
retry-loops	Sessions with 30+ high-token calls
single-model-dependency	100% traffic on one expensive model

Each hint includes severity · evidence · recommended action · estimated monthly saving.

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Privacy

All data stored at ~/.token-tracker/usage.db (SQLite). Nothing leaves your machine. No telemetry, no account required.

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Development

git clone https://github.com/nikhilnt1234/TokenBurnRate.git
cd TokenBurnRate
npm install --ignore-scripts
npx tsup
npm test

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Roadmap

• Team / Supabase backend (multi-user shared dashboard)
• Weekly email digest
• Slack / webhook alerts
• macOS menubar app

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License

MIT © 2026 Nikhil T