REA
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
Run efficiency for coding agents: share of paid tokens that became output, not context re-reading.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"contextburn": {
"command": "uvx",
"args": [
"contextburn",
"mcp"
]
}
}
}Use contextburn and tell me what you can do for me, then show me one thing✓ If Claude says it is using contextburn or shows a contextburn tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect contextburn yet
contextburn runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect contextburn
B · Others in Developer tools that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user contextburn -- uvx contextburn mcpYou should see contextburn listed as connected
Use contextburn and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using contextburn or shows a contextburn tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use contextburn and tell me what you can do for me, then show me one thing✓ If Cursor says it is using contextburn or shows a contextburn tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use contextburn and tell me what you can do for me, then show me one thing✓ If VS Code says it is using contextburn or shows a contextburn tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Claude Code
claude mcp add --scope user contextburn -- uvx contextburn mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"contextburn": {
"command": "uvx",
"args": [
"contextburn",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"contextburn": {
"command": "uvx",
"args": [
"contextburn",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"contextburn": {
"type": "stdio",
"command": "uvx",
"args": [
"contextburn",
"mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
pypi: contextburnBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
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 12, 2026
The registry name was verified against the domain arsentev.ai (the registry checks domain ownership)
Code last changed 2 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed 2 days ago, and the latest version (0.2.1) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: REA, GitHub, Serena MCP: the IDE for your agent
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
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.
contextburn reads the transcripts Claude Code already writes on your machine and tells you what share of the tokens you paid for became model output — and how much was the agent re-reading context it had already sent.
Token counters answer *"how much did I spend?"*. This answers *"how much of it was work?"* — a normalised share, so it can be compared across sessions, models and ways of working.
cp bin/contextburn ~/bin/contextburn && chmod +x ~/bin/contextburn # python3 only, no dependencies
contextburn detail 24
Real output over the session logs of the 36 runs behind the U-curve report — nothing else on the machine. Video with DOI: 10.5281/zenodo.22713920. The runs themselves are open: Hugging Face (DOI 10.57967/hf/10366) · Kaggle · OSF (DOI 10.17605/OSF.IO/5QTWY).
The comparison above comes from a controlled experiment with its dataset and analysis scripts: Clear Every Third Task: A Measured U-Curve in the Context Economy of Coding Agents.
~/.claude/projects/**/*.jsonl). Nothing leaves the machine — no network calls at all.bin/contextburn. Update them there when they change.| command | what it shows |
|---|---|
contextburn | what is burning tokens right now |
contextburn detail [hours] | run efficiency, sessions, and what specifically inflated the context |
contextburn window | the current 5-hour subscription window |
contextburn --json | machine-readable state (used by the menu-bar app) |
contextburn --probe | raw JSON dump of the parsed sessions |
contextburn --efficiency [hours] | run efficiency as JSON |
contextburn mcp | start the MCP server |
| setting | default | meaning |
|---|---|---|
CONTEXTBURN_LANG or ~/.config/contextburn/lang | en | interface language: en or ru |
CONTEXTBURN_DAY_START | 6 | hour your day starts — the daily total resets here |
CONTEXTBURN_WARN | 30000000 | tokens/hour that turns the menu-bar counter yellow |
CONTEXTBURN_ALARM | 90000000 | tokens/hour that turns it red |
The language file exists because the menu-bar app is launched from Finder, where environment variables never reach it: echo ru > ~/.config/contextburn/lang switches both the app and the CLI.
Let the agent read its own run efficiency mid-session. The package ships a dependency-free MCP server (stdio) with two tools: run_efficiency returns the shares as structured data, and spend_breakdown returns the full report.
claude mcp add contextburn -- uvx contextburn mcp
Or install it as a Claude Code plugin, which registers the same server:
/plugin marketplace add arsentev-ai/contextburn
/plugin install contextburn@contextburn
editors/vscode.editors/raycast, Store submission pending.app/main.swift is a small status-bar app. It polls contextburn --json once a minute and shows the current burn rate with an hourly graph; click a bar to see that hour's breakdown.
swiftc -O -o ContextBurn app/main.swift
Set CONTEXTBURN_BIN=/path/to/contextburn if the CLI is not in ~/bin or the usual Homebrew paths.
bin/contextburn.Software DOI (all versions): 10.5281/zenodo.22712985. GitHub's "Cite this repository" button gives the reference; metadata is in CITATION.cff.
Evgenii Arsentev — arsentev.ai · ORCID 0000-0002-9120-7298
This project was published as tokmon on its first day and renamed to avoid confusion with unrelated tools of that name; TOKMON_* environment variables still work.
MIT — see LICENSE.