Token Meter

Name: Token Meter
Author: whdrnr2583-cmd

by whdrnr2583-cmdversion 0.1.17i★ –iRuns on your computer

Registry nameio.github.whdrnr2583-cmd/token-meter

Install

Overview

Description from the maker (original English)

Local-first dashboard + MCP for Claude Code and Codex token usage. Per-MCP/tool breakdown.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "token-meter": {
      "command": "npx",
      "args": [
        "-y",
        "@whdrnr2583/token-meter"
      ]
    }
  }
}

Run this in your terminal

claude mcp add token-meter -- npx -y @whdrnr2583/token-meter

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "token-meter": {
      "command": "npx",
      "args": [
        "-y",
        "@whdrnr2583/token-meter"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "token-meter": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@whdrnr2583/token-meter"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account whdrnr2583-cmd, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32673 servers in this category
Published to the registry more recently than 12% of the other 32673 servers in this category
Basic checks equal to or better than 100% of the other 32673 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Token Meter safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.17) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Systemdox

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

Install

Systemdox

by puglieseweb

Your architecture in your agents' context: checks, specs, ADRs and docs over MCP, at write time.

Runs on your computerUpdated today

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Token Meter

Track Claude Code, Codex & Cursor token usage and cost locally — no account, no cloud.

One local dashboard for your Claude Code and Codex token usage.

Free, MCP-aware, MIT-licensed core.

npm: @whdrnr2583/token-meter · GitHub: whdrnr2583-cmd/token-meter · Site: token-meter.dev

Token Meter parses the JSONL files that Claude Code and Codex already write to disk and turns them into a real dashboard: cost per project, per model, per MCP tool, per hour. Your data never leaves your machine.

Run your first audit

npx -y @whdrnr2583/token-meter audit

Scans your ingested Claude Code + Codex history for expensive sessions, oversized tool responses, slow tools, repeated calls, and cache waste, ranked by cost and confidence. Runs entirely against your local SQLite database — same local-first, no-cloud processing as the rest of Token Meter. Add --json for machine-readable output; see docs/audit.md for the full flag list and JSON schema.

When to use this

Use Token Meter if you:

want to know how many tokens and dollars your Claude Code or Codex sessions are costing — broken down by project, model, and MCP tool
are on a flat-fee plan (Claude Max, etc.) and want to see what the equivalent API cost would be
want to find which MCP server or tool is eating the most tokens, or which hour of the day is most expensive
want to resume a recent session and need the claude --resume / codex resume command handy
want all of the above offline, with no account and nothing uploaded

Not a fit if you need billing-grade numbers validated against your Anthropic or OpenAI invoice — Token Meter computes estimates from local JSONL files only.

MCP tools

When Token Meter is wired as an MCP server (install-mcp all), four tools become available to your AI assistant:

Tool	What it returns
`usage_summary`	Daily table of token counts, USD-equivalent cost, and call counts — broken down by day and model
`recent_sessions`	Latest sessions with paste-ready `claude --resume` / `codex resume` commands
`session_tools`	Per-tool breakdown inside a session: call count, total tokens, average latency, response size
`refresh_data`	Re-scans your local JSONL logs for new activity, then returns a fresh summary

All four are read-only. No data leaves your machine.

Example prompts

Copy-paste any of these into Claude Code or Cursor after installing the MCP server:

Show me my token usage and cost for the last 7 days.

List my recent sessions so I can pick one to resume.

Show the tool breakdown for my most recent session — which tool used the most tokens?

Refresh token-meter data, then tell me which model cost the most this week.

Which hour of the day am I spending the most tokens on?

Quick start

npx @whdrnr2583/token-meter ingest        # scan ~/.claude/projects + ~/.codex/sessions

npx @whdrnr2583/token-meter stats 30 # CLI summary for last 30 days npx @whdrnr2583/token-meter serve # http://localhost:8765 dashboard npx @whdrnr2583/token-meter mcp # run as an MCP server for Claude Code / Cursor

The package is published under an npm scope (@whdrnr2583/) because the

bare token-meter name collides with an existing similar name on npm. The

CLI binary is still called token-meter after install.

Connect Token Meter to your AI tool (MCP)

One command registers Token Meter with every supported client on your machine:

npx -y @whdrnr2583/token-meter install-mcp all

Handles Claude Code, Cursor, and Claude Desktop — idempotent, backs up existing config, preserves other MCP servers. Single-client variants: install-mcp claude-code | cursor | claude-desktop. Add --dry-run to preview.

Or have your LLM do it. Open Claude Code / Cursor / Claude Desktop and ask:

*"Read https://raw.githubusercontent.com/whdrnr2583-cmd/token-meter/main/docs/mcp-server.md

and set up token-meter as my MCP server."*

Manual one-liners (if you'd rather not run our installer):

Client	Command / config
Claude Code	`claude mcp add token-meter -- npx -y @whdrnr2583/token-meter mcp` then `claude mcp list` to verify
Cursor	Edit `~/.cursor/mcp.json` (Windows: `%USERPROFILE%\.cursor\mcp.json`) — see docs/mcp-server.md
Claude Desktop	Edit `claude_desktop_config.json` — see docs/mcp-server.md
ChatGPT	Stdio-only for now; HTTP wrapper recipe in docs/mcp-server.md
Other (Continue, Zed, custom)	`npx -y @whdrnr2583/token-meter mcp` over stdio

Then ask: *"Use token-meter to show my recent sessions"* or *"Use token-meter usage_summary for this week"*.

Claude Code shortcut: run npx -y @whdrnr2583/token-meter install-command claude-code once to register the /token-meter slash command. After reopening your session, type /token-meter for a one-shot summary without natural language.

Full setup + verification + troubleshooting: [docs/mcp-server.md](docs/mcp-server.md).

Storage: ~/.tokenpulse/usage.db (SQLite). Remove the folder to start over. The folder name will become ~/.tokenmeter/ in a future release with an automatic migration; until then the v0.1 directory keeps its original name.

What you see

USD-equivalent cost per day, model, project. Useful if you're on a Max plan and want to know what the API would have cost.
MCP and tool breakdown: which MCP server is eating tokens, how slow each tool is on average, response sizes per call.
Hourly distribution of output tokens.
Claude Code + Codex side-by-side, in one view.

A note on the dollar figures

Costs are estimates computed locally from the token counts that Claude Code and Codex already write to their JSONL files, multiplied by the model's published per-million-token rate. They are not validated against your actual Anthropic / OpenAI invoice and may diverge for several reasons:

Vendors change pricing; the table in src/pricing.ts is a snapshot
Subscription plans (Pro / Max) bill a flat fee — the on-screen $ is what the API would have cost, not what you pay
Some token categories (server-side tool use, cache write variants) are approximated

Treat the numbers as relative signal for spotting waste, not as billing-grade accounting. Token Meter ships a regression test that the calculation is reproducible, and an audit script that checks invariants; neither verifies the rates against vendor invoices.

Why local-first

Your JSONL contains source code, prompts, and tool results. Token Meter never uploads any of it. Heuristics, regex, and SQL aggregation only.
No SDK to integrate, no proxy to configure for the free tier.
The CLI and dashboard core are MIT licensed.

Pricing

Tier	Price	What you get
Free	$0	Claude Code + Codex parsing, MCP/tool breakdown, hourly/model/project breakdown, 7-day history, 1 desktop alert
Pro	$5/mo	Everything in Free, reframed as a monthly spend review: 30-day history (this month vs last), per-session/per-message drill-down to the run that blew the budget, cache-efficiency dollars saved, waste signals (oversized tool responses + cache that didn't pay off), plus unlimited smart alerts (desktop + webhook)
Pro+	_later_	Local LLM proxy (Ollama / LM Studio / llama.cpp / vLLM), GPU/VRAM tracking, auto actions

Pro is the difference between glancing at last week's number and reviewing where the month's spend leaked. Pro is live — Subscribe at token-meter.dev.

Pro+ ships once Pro sign-ups + community demand confirm the segment.

Roadmap

M1 ✅ Claude Code parsing, MCP/tool breakdown, hourly stats
M2 ✅ Codex integration
M3 ✅ Pro tier ($5), Polar.sh billing, license activation
M4+ Pro+ (local LLM proxy, GPU tracking), conditional on demand

Privacy & security

Tokens are counted from the JSONL files Claude Code and Codex already write. Token Meter does not touch network APIs of either vendor.
No prompt or response bodies are stored by default — only metadata (timestamps, token counts, tool names, response lengths).
The database lives under ~/.tokenpulse/; delete it to wipe. (Renamed to ~/.tokenmeter/ in a future release with an automatic migration.)

Changelog

See CHANGELOG.md for release notes and breaking changes.

License

MIT for the CLI, dashboard, and parsers. Pro-tier features ship in a separate package under a closed source license.

Token Meter

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Systemdox

README from the maker

Token Meter

Run your first audit

When to use this

MCP tools

Example prompts

Quick start

Connect Token Meter to your AI tool (MCP)

What you see

A note on the dollar figures

Why local-first

Pricing

Roadmap

Privacy & security

Changelog

License