Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
uvx contextburn==0.2.1Claude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
claude mcp add ai.arsentev-contextburn -- uvx contextburn==0.2.1รันในเทอร์มินัล
{ "mcpServers": { "ai.arsentev-contextburn": { "command": "uvx", "args": [ "contextburn==0.2.1" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
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.
Run efficiency for coding agents: share of paid tokens that became output, not context re-reading.
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.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.
Run efficiency for coding agents: share of paid tokens that became output, not context re-reading.
{ "mcpServers": { "ai.arsentev-contextburn": { "command": "uvx", "args": [ "contextburn==0.2.1" ] } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Contextburn ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-07 Run efficiency for coding agents: share of paid tokens that became output, not context re-reading.