Analysiert die Kosten für KI-Coding, den Token-Verbrauch und Plan-Quoten über Tools wie Claude Code, Cursor und Codex hinweg, indem lokale Session-Files ausgelesen werden.
Auch bekannt als getagentseal/codeburn
- Stars
- 11.798
- Tools
- —
- Downloads, 30 Tage
- —
- Neueste Version
- 0.9.28
- Letzter Commit
- 13. Nov. 2026
- Lizenz
- MIT
Was ist CodeBurn MCP?
CodeBurn ist ein MCP server. Analysiert die Kosten für KI-Coding, den Token-Verbrauch und Plan-Quoten über Tools wie Claude Code, Cursor und Codex hinweg, indem lokale Session-Files ausgelesen werden.
Zusammenfassung generiert aus dem README des Projekts
Über CodeBurn MCP server
CodeBurn bietet eine detaillierte Aufschlüsselung der KI-Coding-Ausgaben, indem es die lokalen Session-Files analysiert, die von Tools wie Claude Code, Cursor und Codex generiert werden. Anstatt nur eine monatliche Gesamtsumme eines Providers zu sehen, können Entwickler die Kosten nach Projekt, Model, Git-Branch und spezifischen Aufgaben wie Debugging oder Planning kategorisieren. Das System arbeitet lokal durch das Lesen vorhandener Dateien auf deiner Festplatte, sodass kein Account oder Sign-up nötig ist, um mit dem Tracking zu beginnen.
Nutzer können mit den Daten über ein Terminal-Interface, eine Web-View oder eine dedizierte Desktop-App für macOS, Windows und Linux interagieren. Das Tool enthält eine Optimierungsfunktion, die token-intensive Dateien oder ungenutzte MCP server identifiziert, die die Kosten in die Höhe treiben. Für Nutzer von Claude Code kann es als MCP server via stdio integriert werden, wodurch ein AI Agent Fragen zum Token-Verbrauch und zum Ausgabeverhalten direkt innerhalb eines Chats beantworten kann, ohne externe Netzwerkaufrufe zu tätigen.
Was du damit machen kannst
- 1Coding-Ausgaben nach Task analysierenFrag die KI, wie viel Geld für spezifische Aktivitäten wie Debugging oder Planning ausgegeben wurde.
- 2Token-Verschwendung identifizierenFühre einen Optimierungs-Scan aus, um Dateien oder Configs zu finden, die unnötig Tokens verbrauchen.
- 3Subscription-Quoten überwachenPrüfe, wie viel von einem spezifischen KI-Plan noch übrig ist, um zu vermeiden, dass dir mitten in der Session die Credits ausgehen.
- 4Kosten für Feature-Entwicklung berechnenErmittle die Gesamtkosten eines spezifischen Features, indem du die Ausgaben betrachtest, die mit einem Git-Branch verknüpft sind.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du CodeBurn MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenCodeBurn MCP in Claude Code installieren
$ claude mcp add codeburn -- npx -y codeburnCodeBurn MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"codeburn": {
"command": "npx",
"args": [
"-y",
"codeburn"
]
}
}
}CodeBurn MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"codeburn": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"codeburn"
]
}
}
}CodeBurn MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"codeburn","type":"stdio","command":"npx","args":["-y","codeburn"]}'CodeBurn MCP in Claude Desktop installieren
claude_desktop_config.json
{
"mcpServers": {
"codeburn": {
"command": "npx",
"args": [
"-y",
"codeburn"
]
}
}
}CodeBurn MCP in Codex installieren
$ codex mcp add codeburn -- npx -y codeburnCodeBurn MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.codeburn] command = "npx" args = ["-y", "codeburn"]
CodeBurn MCP in Gemini CLI installieren
$ gemini mcp add -s user codeburn npx -- -y codeburnCodeBurn MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"codeburn": {
"command": "npx",
"args": [
"-y",
"codeburn"
]
}
}
}Automatisierte Checks
Geluften am 12. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarBestanden
- Open Source Lizenz (OSI)Bestanden
- Commit oder Release im letzten JahrBestanden
- Package-Name ähnelt keinem populären PackageBestanden
- Remote Endpoint nutzt HTTPSNicht geprüft
- Destruktive Tools sind markiertNicht geprüft
- Keine versteckten Anweisungen an das ModellBestanden
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenBestanden
README
Auf GitHub ansehenThe problem
Your bill gives you a month total. It does not break that down by project, by model or by task, and it does not show which part of it was wasted.
Claude Code, Codex, Cursor and the rest each write a session file every time you use them, and those files hold every token and every model call. CodeBurn reads those files and produces the breakdown.
Sixty seconds
npx codeburn
There is no account and no sign-up. CodeBurn looks in the folders your tools already write to, prices every token, and prints what you spent.
Under the total are the tables: cost by tool, by model, by project and by task. Task means what the agent was doing, such as coding, debugging or planning, worked out from the session itself.
Arrow keys move the period, from today out to your whole history. Press p to switch between tools. Press q to quit.
See it
The desktop app is the same data with room to move around in. It opens on today: what you have spent, what the month is on pace to cost, and the last thirty days day by day.
One click from the clock, the menu bar popover shows the short version of that page. The Capacity Dock adds a ring per provider at the screen edge. Hover a ring and a glance card tells you what is running right now and which limits are filling up.
All four read the same files on your disk, so they show the same numbers, allowing for when each one last refreshed.
The same numbers are in your browser with codeburn web, and in the terminal with codeburn.
Understand it
Every number in the app is clickable. Click today's total and you land on Sessions, one row per session with its project, its model, its tokens and its cost. Click a row and you get the turns inside it, so you can see which part of the work was expensive.
On the Spend page the same money is cut four ways, by project, by git branch, by model and by task. The branch view adds up every session you ran while you were on that branch, so you get the cost of a feature.
Compare periods puts two date ranges side by side and shows the difference. Use it after you change something, a model or a workflow or a prompt, to find out whether the change actually cost less.
The Pull requests page matches spend against the pull requests your sessions recorded, so you can see which spend shipped (Yield).
Fix it
codeburn optimize
Optimize reads your sessions and your config, then lists what costs tokens without earning them. A file the agent re-reads on every turn. An MCP server you installed months ago and never call. A CLAUDE.md that grew long enough to ride along in every single request.
Each finding comes with a grade, the fix, and what that fix should save you over the period it scanned.
CodeBurn can make the config changes for you, and take them back:
codeburn optimize --apply # review and apply
codeburn act undo --last # put it back
Files are backed up before they are changed, and you see the change before anything is applied. A few days later, codeburn act report checks what each fix promised against what your sessions actually did, including the fixes that changed nothing.
Stay ahead
codeburn plan set claude-max # the plan you pay for
codeburn quota # how much of it is left
codeburn guard install # spending caps for Claude Code
Tell CodeBurn which subscription you pay for and it stops showing only what you spent. It shows how much of the plan you have used, and whether the month is on pace to run past it.
codeburn quota reads the live limits out of the tools you are already signed in to. That is where the five-hour and weekly windows come from. Check it before a long run.
Guard is opt-in and local. codeburn guard install adds Claude Code hooks that warn a session once it passes $5 and stop it at $15, and do the same for a tool call stuck in a loop or a failing command retried over and over. All the limits are yours to change, codeburn guard status shows where the hooks live, and codeburn guard uninstall takes them out again.
Always in view
Today's spend sits in the macOS menu bar, beside the clock. Click it and the popover opens on the same figures as the app, with today, the period switcher, the trend and the per-model breakdown.
The Capacity Dock docks a thin rail to any edge of your screen, with one ring per provider showing how much of that plan is left. It shows what is left before you start a run, not after.
Turn either on from the desktop app's Plugins page in one click, or from the command line:
codeburn menubar
On Linux the same view lives in the top panel, as a GNOME Shell extension.
The desktop app runs on Windows. Install it from the Microsoft Store, which is the recommended way and keeps itself up to date, or take the direct installer. The Windows tray app shows today's cost next to the clock, the same way the macOS menu bar does, and clicking it opens the same popover. The Capacity Dock is there too, from the tray menu or the app's Plugins page. If you run your agents inside WSL, CodeBurn reads the distro's home directory as well as your Windows profile, so sessions you ran in Linux are counted without you installing anything twice.
Setup for all three platforms, including WSL, is in Menu bar and tray.
Inside your agent
In Claude Code, install the plugin. It sets up the MCP server below and adds /codeburn:cost, which summarizes today's spend:
/plugin install codeburn --marketplace getagentseal/codeburn
Or register only the MCP server:
claude mcp add codeburn -- npx -y codeburn mcp
That registers a local MCP server over stdio. Your agent can then answer "where did my tokens go this week" or "what should I change to spend less" without you leaving the conversation.
It reads the same files on disk that the CLI reads. The server answers from that local data and makes no network call of its own, and project names are pseudonymized unless the agent asks for them.
Works with 42 tools
CodeBurn detects the tools you already use. There is nothing to configure and no folder to point it at. If a tool is installed and has sessions on disk, it shows up. Each logo links to that tool's page.
Each page lists where that tool keeps its data, the format it uses, and the quirks CodeBurn works around.
Amp · Antigravity · Claude Code · Cline · Cline CLI · Codebuff · Codex · CodeWhale · Command Code · Copilot · Crush · Cursor · Cursor Agent · DeepSeek Harness · Devin · Droid · Forge · Gemini CLI · Goose · Grok Bot · Grok Build · Hermes Agent · IBM Bob · KiloCode · Kimi · Kimi Code · Kiro · LingTai TUI · Mistral Vibe · Mux · OMP · Open Design · OpenClaude · OpenClaw · OpenCode · Pi · Qwen · Quick Desktop · Warp · ZCode · Zed · Zerostack
CodeBurn also reads the Vercel AI Gateway reporting API, which is a gateway rather than a tool, so its spend is shown on its own row and left out of your totals by default.
If several of these have sessions on disk, press p in the dashboard to move between them. A path that has changed is worth an issue. Adding a tool is a single file: see src/providers/codex.ts.
Private by design
CodeBurn reads files that are already on your disk. There is no account, no API key and no proxy in front of your agent.
Your prompts, your code and your project names stay on your computer. CodeBurn does not sit between you and your agent, so if it stopped working tomorrow your tools would not notice.
Prices come from LiteLLM and refresh once a day.
Everything that does leave your machine is listed in Privacy.
CodeBurn MCP Fragen
Wie füge ich CodeBurn MCP zu Claude Code hinzu?
Führe claude mcp add codeburn -- npx -y codeburn in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich CodeBurn MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Wie trackt CodeBurn meine Ausgaben?
Es liest die Session-Files aus, die Tools wie Claude Code, Codex und Cursor auf deiner Festplatte speichern und die jeden Token sowie jeden Model-Call enthalten.
Muss ich ein Konto erstellen, um CodeBurn zu nutzen?
Nein, für die Nutzung des Tools ist keine Registrierung oder ein Account erforderlich.
Kann CodeBurn mir helfen, meine KI-Kosten zu senken?
Ja, der optimize command identifiziert Dinge, die Token kosten, ohne Mehrwert zu bieten – wie unnötige Dateien oder ungenutzte MCP server – und kann Korrekturen automatisch anwenden.
Sendet der MCP server meine Daten an einen Remote-Server?
Nein, der MCP server liest lokale Dateien auf deiner Festplatte und nimmt keine eigenen Netzwerkaufrufe vor.