The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the TokenBurnRate listing page.
See where your AI tokens go — and how to spend less of them.
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.
Or run without installing:
Or add manually to ~/Library/Application Support/Claude/claude_desktop_config.json:
Restart Claude Desktop. Done.
| 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 |
| 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 |
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.
All data stored at ~/.token-tracker/usage.db (SQLite).
Nothing leaves your machine. No telemetry, no account required.
MIT © 2026 Nikhil T