Tokencut — AI skill for Claude Code
Reduce verbose AI coding output with a local CLI and MCP server.
How to install Tokencut
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open 00200200/tokencut and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Tokencut does
Reduce verbose AI coding output with a local CLI and MCP server. Targeted reads, output budgets, and recoverable context for Claude Code and Codex.
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README
High-performance context compression engine and universal MCP server.
Reduces token consumption by 60–85% across Claude Desktop, ChatGPT macOS, Cursor, Claude Code, and terminal CLI without degrading reasoning or losing tracebacks.
Failure isolation: assertion failures and full tracebacks are retained while repetitive terminal noise is compacted.
The Context Accumulation Problem
AI coding agents (Claude Code, Cursor, Codex, Gemini CLI) run inside multi-turn conversation sessions. Every executed command, test runner output, and inspected file is appended to the conversation history and resent on every subsequent tur
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