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제작자가 쓴 설명(영어 원문)
OpenAI Codex usage from your local logs: tokens, API-equivalent cost and plan limits.
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": {
"codexwatch": {
"command": "uvx",
"args": [
"codexwatch-cli",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add codexwatch -- uvx codexwatch-cli mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"codexwatch": {
"command": "uvx",
"args": [
"codexwatch-cli",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"codexwatch": {
"type": "stdio",
"command": "uvx",
"args": [
"codexwatch-cli",
"mcp"
]
}
}
}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 6일 점검
레지스트리 이름이 GitHub 계정 psychofict 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(1.0.2)은 어제 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
codexwatch shows where your OpenAI Codex usage goes: tokens and their API-equivalent cost per day, project, model, session and tool, your plan's 5-hour and weekly limits as they stand now, and what each percent of those limits cost you. By default it reads only the session logs Codex already writes on your machine, never opens your login, and makes no network request; fetching prices and refreshing codexhop accounts are things you ask for.
pipx install codexwatch-cli # or: pip install --user codexwatch-cli
codexwatch # the overview in your terminal codexwatch dashboard # the web dashboard
You need nothing beyond the Codex logs already on this machine, so the first command already has your numbers. On Linux, ./install.sh --tray --desktop from a clone also adds an app-menu entry, a desktop shortcut and the tray.
Codex gives each model response an id. codexwatch keys every row on it, so a forked session that copies its parent's history, a subagent, a repeated token event or the same logs synced from another machine never add tokens twice. Those are the four ways Codex usage has been overcounted, and each one has a test that reproduces it.
After every response Codex writes the plan's rate-limit reading into the session log: how full the 5-hour and weekly windows are and when they reset. codexwatch reads those, so the live figures need no network call and no login.
Because each reading follows a known response, codexwatch can set the tokens spent in a window against how far the window moved. You get an exchange rate (dollars of API usage per percent of your plan, per window and per day) and a flag on any rise your local logs do not account for, such as usage from another machine or from ChatGPT itself.
Lines are filtered on their first bytes, so tool output and reasoning text are never decoded, and a growing session is read from where the last scan stopped. On the machine it was built on, 1.85 GB of logs in 59 sessions took about 2 seconds to scan the first time (measured, 2026-11-04); later scans read only new lines.
Every bundled price was copied from OpenAI's pricing pages, with the date and the page. A model with no published price is shown as unpriced and left out of dollar totals, never counted as $0. Fast mode is priced at the Fast tier, and prompts over 272K tokens at the long-context rate.
codexwatch dashboard opens a page on 127.0.0.1. It works offline, follows your system's light or dark setting, and refreshes as you work.
The top of the page is your plan: both windows with their reset times, the burn rate over the last hour, the time the window fills at that pace, and what you have spent since it reset. The red band below compares the last 30 days of usage with what your plan costs. After that come the totals for the period you pick, a daily chart, models and projects, quota forensics, recent sessions, a weekday-by-hour map, tool calls, and how your work ran (CLI, IDE or codex exec, Standard or Fast, main sessions or subagents).
Light theme and phone
codexwatch card writes a 1200 × 630 image of your month, and the dashboard's Share card button saves it as SVG or PNG. It leads with what your plan returned. Project names stay off the card unless you pass --projects, because a project name can be a client's name.
Plan prices come from OpenAI's Codex pricing page. Enterprise and Edu have no public price, so set yours with codexwatch config set plan_price 60.
codexwatch bar -f FORMAT prints one line, or a small menu, in the shape each bar expects. It reads only new log lines, so calling it every few seconds is cheap.
| Where | How |
|---|---|
| macOS menu bar | Install SwiftBar or xbar, then copy extras/swiftbar/codexwatch.30s.sh into its plugin folder (or run ./install.sh --swiftbar). |
| Linux tray | codexwatch tray, or ./install.sh --tray to start it now and at every login (--desktop also puts a shortcut on the desktop). A ring shows the 5-hour window; the menu holds both windows, today's value and your codexhop accounts. It uses your distribution's GTK bindings (python3-gi and an AppIndicator package), even when codexwatch itself was installed with pipx. |
| waybar | "custom/codex": {"exec": "codexwatch bar -f waybar", "return-type": "json", "interval": 30} |
| tmux | set -g status-right '#(codexwatch bar -f tmux)' |
| polybar, i3blocks | -f polybar, -f i3blocks |
| Shell prompt | PS1='$(codexwatch bar -f prompt --no-scan) \$ ' |
Desktop notifications fire as a window passes 75%, 90% and 100%, once each per window. The tray sends them, or run codexwatch notify from a timer.
codexwatch mcp is an MCP server, so an agent can check your usage mid-session:
codex mcp add codexwatch -- codexwatch mcp # OpenAI Codex
claude mcp add codexwatch -- codexwatch mcp # Claude Code
Then ask "how much of my 5-hour window is left?" or "what did this week cost?". The tools are usage_summary, plan_limits, quota_forensics, sessions, daily and budget_status. The server is in the official MCP Registry as io.github.psychofict/codexwatch.
codexhop keeps several ChatGPT logins for Codex and switches between them. When it is installed, codexwatch shows every account's latest reading and the one with the most room, names the account behind each plan window in the quota report, and codexwatch limits --refresh asks codexhop for fresh readings of all of them. codexwatch itself never opens a login file; it runs codexhop for anything that needs one.
codexwatch autohop moves Codex to another of your saved accounts when the live one is nearly spent. It is for accounts that are yours, such as a personal plan and your own seat in a company workspace, never a login someone shared with you; each account keeps its own limits, and OpenAI's terms of use apply to each one. It is off until you run it, and without --apply it only says what it would do:
$ codexwatch autohop
15:41:56 stay work is at 31% of its 5-hour window and 29% weekly; below 92% / 97%, so stay
With --apply it hops when the live account reaches 92% of its 5-hour window or 97% of its week, only to an account with at least 25% of its 5-hour window free, and at most once every 20 minutes. Every number can be changed in the autohop block of config.json. extras/systemd runs it every 3 minutes, and creating a file called autohop.off in the codexwatch folder stops it.
codexwatch budget add --name "Monthly" --usd 300 --every month
codexwatch budget add --name "atlas daily" --usd 20 --every day --scope project:atlas-api codexwatch budget add --name "5h headroom" --pct 80 --window 5h codexwatch budget list
A dollar or token budget adds up API-equivalent usage over the local calendar day, week (from Monday) or month, for everything or one project or model. A percent budget watches the plan's own window. Each sends a notification at 80% of its limit (--notify-pct) and again when it is spent. codexwatch budget check exits 1 when any budget is over, for scripts and CI.
Copy or sync another machine's ~/.codex (or just its sessions folder) somewhere and add it:
codexwatch sources add ~/sync/laptop-codex --machine laptop
codexwatch machines
Responses that appear in both places are counted once, by their response id.
Every report takes -p/--period (today, 7d, 30d, week, month, year, all, 2026-10, 2026-10-31), --since and --until, filters (--project, --model, --client, --machine, --account) and --json.
| Command | What it shows |
|---|---|
codexwatch | Plan limits, totals for today, 7 days, this month and all time, a 30-day strip, top models and projects |
daily, weekly, monthly | Tokens (input, cached, output, reasoning) and API value per period; --csv |
projects, models, clients, machines, tiers, efforts, agents | The same, grouped another way |
sessions | Recent sessions with title, model, turns, tokens, value and compactions; subagents under their parent |
tools | Which tools Codex called and how often |
latency | Median and 90th-percentile turn time and time to first token, per model |
hours | A weekday-by-hour map of when you use Codex |
limits | Every plan window, burn rate, when it fills, and codexhop accounts; --refresh |
quota | Dollars per percent of each window and day, and rises the logs cannot explain |
live | A full-screen view that redraws every few seconds |
dashboard | The web dashboard on 127.0.0.1:7878 |
card | The share card; --projects, --theme light, --plan-price |
bar | One line for a status bar or prompt |
tray | The Linux tray icon |
budget | add, list, rm, check |
notify | Send any due notification once |
autohop | Move to another of your own codexhop accounts when the live one is nearly spent (dry run unless --apply) |
mcp | The MCP server |
demo | The dashboard on invented data; --terminal for the overview |
export | Every response as CSV or JSON |
prices | The price list; update pulls LiteLLM's, path shows where your overrides go |
sources | add or rm another machine's logs |
| scan | Read new log lin
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