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arsentev-ai/contextburn

by Various

How much of what your coding agent spends is actually work: the share of paid tokens that became output, not context re-reading. Local, no network calls.

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arsentev-ai/contextburn

Added 16 Sept 2026

#claude-code#coding-agents#context-window#cost-efficiency#llm#observability#token-usage
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Local Python tool that measures the share of paid tokens your coding agent converts into output versus context re-reading. Runs entirely on your machine with no network calls, giving you a direct view of token spend efficiency.

Best for

Best for
Developers who want to quantify coding agent token waste

Use cases

  • Audit token consumption of coding agent sessions
  • Identify how much context re-reading costs
  • Track output efficiency across prompts

How to use

Install

claude mcp add contextburn -- uvx contextburn mcp

Tools exposed

  • CONTEXTBURN_DAY_START
  • CONTEXTBURN_WARN
  • CONTEXTBURN_ALARM

Clients listed in this record (not verified here)

Claude Code, Cursor, Windsurf, VS Code

Notes

0 stars on GitHub. Last updated 2026-09-13. Licensed MIT.

Pros

  • Fully local, no network calls
  • Direct measurement of work vs context overhead
  • Simple Python tool

Cons

  • No stars or community validation yet
  • Requires Python environment
  • Only measures token share, not quality of output

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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