token-saver MCP Server
ppgranger/token-saver
[](https://agentrank-ai.com/tool/ppgranger--token-saver/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Content-aware output compression for AI coding assistants. 36 specialized processors cut CLI output tokens by 60-99% (git, pytest, npm, terraform, kubectl, docker, and more) without losing errors, diffs, or stack traces.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
ppgranger/token-saver is a Python tool licensed under Apache-2.0. Content-aware output compression for AI coding assistants. 36 specialized processors cut CLI output tokens by 60-99% (git, pytest, npm, terraform, kubectl, docker, and more) without losing errors, diffs, or stack traces. Topics: agentic-ai, ai-coding-assistant, claude-code, claude-code-plugin, cli-tools, context-engineering, context-window, developer-tools, llm-cost-optimization, mcp, python, token-optimization.
Ranked #4381 out of 24846 indexed tools.
Ecosystem
Score Breakdown
153 stars → growing community
Last commit 1mo ago → moderate activity
2/4 issues closed → decent issue management
4 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# Token-Saver **Keep the signal. Stop rereading the same failures.** Token-Saver compresses the terminal output your AI coding assistant reads — `git diff`, `pytest`, `npm install`, `terraform plan`, `kubectl`, `docker` — to leave more room for the code, instructions, and next decision. Compression runs locally, without another model call or an output upload. **New in v3: [Delta](#delta-changes-between-runs).** Run your tests, edit, run again: see which failures are new, changed, or unchanged. Fresh diagnostics keep their full details; repeated ones can become a short inventory, with details available on demand. Delta is an experimental, opt-in feature in 3.0.0 for supported pytest and Ruff commands in Claude Code. **36 specialized processors** cover git, pytest, jest, cargo, go, docker, kubernetes, terraform, pulumi, helm, ansible, aws, gcloud, and more. Their rules reduce progress logs and boilerplate, with failure fixtures and optional quality contracts checking important diagnoRead full README on GitHub →
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