Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Tokens and cost for Claude Code, Codex and 22 more AI coding agents, from local session files.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"tokmeter": {
"command": "npx",
"args": [
"-y",
"@sriinnu/tokmeter-mcp",
"serve"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add tokmeter -- npx -y @sriinnu/tokmeter-mcp serve프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"tokmeter": {
"command": "npx",
"args": [
"-y",
"@sriinnu/tokmeter-mcp",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"tokmeter": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@sriinnu/tokmeter-mcp",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 sriinnu 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.21.0)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Starreel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Every AI coding agent you run, on one ledger.
Tokmeter reads the session files your agents already write to disk and turns them into token and cost totals by project, model, provider, and day — across 24 agents and editors, including Claude Code, Codex, Gemini CLI, Cursor, Muse, Cline, Augment, Copilot CLI, Kimi Code and DeepSeek Harness. An agent it has no built-in parser for can register a path and emit a simple usage line to show up too. No API keys, no telemetry, no account. Your data never leaves the machine.
Every agent bills you separately and shows you its own slice. Claude Code knows what Claude Code cost. Codex knows what Codex cost. Nothing knows what *today* cost, or which project is quietly burning the most, or whether the model you switched to is actually cheaper for the work you do.
Tokmeter answers that from data already on your disk. It parses each agent's local session logs, prices them against a live model catalog, and keeps an append-only daily ledger so history survives even after the agents rotate their own logs away.
npx @sriinnu/tokmeter --today
Docs and the theme gallery: [tokmeter.srinivas.dev](https://tokmeter.srinivas.dev).
| CLI — usage by project, model and provider | Digest — a weekly report card |
macOS menubar — today's tokens and cost, always visible
There is also a terminal UI (tokmeter-tui), a local web dashboard, a statusline for Claude Code, and an MCP server so an agent can query its own spending.
Requires Node.js 22+. Tools that keep history in SQLite need 22.13+, and DeepSeek Harness logs need 22.15+. Reading session files needs no provider credentials. Pricing fetches public catalogs, and --light skips that for one command.
# Try it without installing
npx @sriinnu/tokmeter --today
npm install -g @sriinnu/tokmeter @sriinnu/tokmeter-mcp
| Package | Contents |
|---|---|
@sriinnu/tokmeter | Core API, CLI, and terminal UI |
@sriinnu/tokmeter-mcp | MCP server, daemon, statusline, and live terminal UI |
packages/core, packages/cli, and packages/tui are private workspace packages bundled into @sriinnu/tokmeter. packages/web is a separate private workspace app run from source.
To keep the daemon always-on (so the menubar and statusline survive reboots), install the launchd agent once: tokmeter-mcp daemon install-agent (macOS). It auto-starts at login and respawns on crash.
Claude Code and Codex are the primary validation targets. See provider compatibility for the other parsers and their known limits.
tokmeter --today
tokmeter models --project my-app --json tokmeter daily --week tokmeter projects tokmeter stats --month tokmeter digest --period week tokmeter pricing sonnet
Filters include --project, --claude, --codex, --week, --month, and --since YYYY-MM-DD --until YYYY-MM-DD. Use --json for machine-readable output and --light for token-only reports.
The root export provides the core API. Convenience query helpers use the /cli subpath.
import { TokmeterCore } from "@sriinnu/tokmeter";
import { loadTokmeterSummary } from "@sriinnu/tokmeter/cli";
const core = new TokmeterCore(); await core.scan({ providers: ["codex", "claude-code"], today: true }); const models = core.getModelCosts(); const daily = core.getDailyBreakdown();
const summary = await loadTokmeterSummary({ week: true, light: true });
Reuse one core scan when querying several breakdowns. See integration guidance, core API usage, and the tokmeter agent skill (npx skills add sriinnu/tokmeter-skill --skill tokmeter -g) for agent-facing integration instructions.
tokmeter-mcp daemon start
tokmeter-mcp daemon status tokmeter-mcp serve # MCP server over stdio tokmeter-mcp statusline # one statusline tick tokmeter-mcp live # live terminal UI
The daemon uses local HTTP port 9877 for queries and WebSocket port 9876 for live registration. Private reads and WebSocket connections require the per-user token in ~/.tokmeter/daemon/daemon.token; /api/ready is the public health check. The macOS app, statusline, and MCP server read that credential at use time. Daemon commands belong to @sriinnu/tokmeter-mcp; install it for these surfaces.
MCP tools use the tokmeter_ prefix and cover usage queries, comparisons, forecasts, export, and cleanup previews. All 22 are read-only: deleting and restoring sessions stays in the CLI and TUI, where you confirm it. See the MCP tool reference for every tool grouped by purpose, and the package MCP README for configuration and programmatic exports.
tokmeter-mcp editors lists installer targets. tokmeter-mcp install-mcp and tokmeter-mcp install-statusline write editor configuration; inspect the generated settings for your editor. For Claude Code, register the MCP server with claude mcp add tokmeter --scope user -- npx -y @sriinnu/tokmeter-mcp serve (from 1.15.0, install-mcp runs claude mcp add itself; 1.14.1 and earlier wrote the entry to ~/.claude/settings.json, which Claude Code doesn't read). See architecture for registration, authentication, refresh, storage, and daemon lifecycle details.
# After installing @sriinnu/tokmeter
tokmeter-tui
npx -p @sriinnu/tokmeter tokmeter-tui
The terminal UI supports overview, model, daily, statistics, and cleanup views. See its keys and commands.
Run the web workspace from a source checkout:
bun install
bun run dev:web
Vite opens the dashboard in your browser on 127.0.0.1:3000 with a per-launch session link; a plain request to that port can't read your usage. See web setup and data sources.
Release builds target Apple silicon and macOS 14+. Node.js 22+ with npx is also required for the local daemon.
Install it with brew install --cask sriinnu/homebrew-tap/tokmeterbar, or download TokmeterBar- .zip from GitHub Releases and move it to /Applications. The app starts the version-matched @sriinnu/tokmeter-mcp daemon itself when none is running, and updates through Sparkle.
The popup gives today's tokens and estimated API cost equal prominence, with models and projects below. Chart hover cards show exact daily tokens and cost. Usage details expands lifetime totals, trends, and signals. Themes: Terminal, Paper, Prism, Lagoon, Carbon, Glass, and (since 1.15.0) the instrument themes Meter, Pump, Rams, Deck, and Passbook. A $/M button in the models header shows each model's list price per million tokens (input, output, cache read, cache write) and where that price came from, and the dashboard port is configurable. The Hub provides larger breakdowns and settings. Settings → Open web dashboard starts its local server on demand; Stop web dashboard or quitting the app stops it.
See macOS build and runtime details, first-use checks, and popover validation. The completion tracker records remaining fresh-machine, reliability, update, accounting, accessibility, and trial gates.
The synthetic walkthrough documents how the example images were generated; it is not a capture of a current local candidate.
tokmeter_ tools, groupedTokmeter reads session files your agents already wrote, sends no credentials and no telemetry, and requires no account. Your usage data doesn't leave the machine.
It does download public price catalogs: the daemon refreshes them about daily on its own, and --light skips that only for the command it's on. The macOS app also checks GitHub for updates. Security and privacy lists every host and how to check.
Tokmeter is free and open source. If it saves you money, consider chipping in to keep it maintained:
AGPL-3.0-only. See licensing notes for what that means if you embed Tokmeter in another product.