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rafsilva85/credit-optimizer-v5

rafsilva85/credit-optimizer-v5

Save 47% on Manus AI credits automatically. Zero downsides. Pays for itself in ~27 prompts. Free MCP Server (PyPI) + $12 Manus Skill bundle with Fast Navigation (115x speed boost).
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add credit-optimizer-v5 -- npx -y credit-optimizer-v5
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
52 ★ · rafsilva85/credit-optimizer-v5 · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 52 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 rafsilva85/credit-optimizer-v5;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Manus Power Stack

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

47% of your Manus credits are being wasted. This fixes it automatically.
> **Zero downsides. 47% average savings. Pays for itself in ~36 prompts.**
> Audited across 53 adversarial scenarios. Quality Veto Rule: if it can't save without loss, it doesn't touch your task.
**Get it:** Landing Page · Gumroad ($12) · Power Bundle ($12) · SkillFlow
**Free MCP Server:** PyPI · Smithery
As Seen On
Dev.to · PulseMCP · Smithery · MCPServers.org · Agensi.io · Indie Hackers · Awesome Manus AI
---
Why Your Credits Disappear
Manus charges credits per task. Most users waste **30–75%** because of four default behaviors:
| Problem | What Happens | Waste |
|---------|-------------|-------|
| **Wrong model routing** | Simple tasks run in Max mode when Standard produces identical results | Up to **5x overpay** |
| **Slow browser navigation** | Each page takes 8–45 seconds via browser tool calls, burning credits on wait time | **150+ seconds** per 10 URLs |
| **No chat detection** | Tasks that cost $0 in Chat Mode (Q&A, brainstorm, translation) run in Agent Mode | **100% overpay** |
| **Context bloat** | Tokens accumulate across steps — each subsequent step costs more than the last | **Exponential growth** |
These aren't bugs. They're default settings. The Power Stack overrides all four.
---
Zero Downsides
This is the most important thing to understand:
> **The Power Stack can never make things worse.** It has a hardcoded Quality Veto Rule: if an optimization would reduce output quality by even 1%, it skips that optimization entirely. In the worst case, it does nothing. In the best case, it saves you 75%.
There is no scenario where installing the Power Stack produces a worse result than not having it.
---
What's Inside
Credit Optimizer v5 — Smart Routing
Analyzes every prompt before execution and decides the cheapest path that delivers identical quality.
- **Intent Classification** across 12 categories (code, research, creative, data, translation...)
- **Model Routing**: Standard vs Max — only uses Max when complexity genuinely requires it
- **Chat Mode Detection**: Routes simple Q&A to Chat Mode ($0 cost)
- **Batch Detection**: Groups related tasks to reduce overhead
- **Context Hygiene**: Compresses accumulated context to keep token costs linear
Fast Navigation v2.0 — Raw Speed
Replaces slow browser tool calls with a programmatic toolkit.
- **httpx + selectolax** replaces Playwright overhead (30–2,000x faster)
- **Browser Cookie Bridge** for authenticated sites
- **Async parallel fetching** — 10 URLs in 1.3 seconds instead of 150+ seconds
- **Intelligent disk caching** with TTL — repeated visits are instant
Together: The Compound Effect
Credit Optimizer decides **what** to optimize. Fast Navigation decides **how fast** to execute it. Together, they multiply:
| Metric | Without Stack | With Stack | Improvement |
|--------|--------------|------------|-------------|
| Simple Q&A cost | Full price | $0 (Chat Mode) | **100% saved** |
| 10-URL research | 150+ seconds | 1.3 seconds | **115x faster** |
| Web scraping task | Full credits | 33% of original | **67% saved** |
| Full-stack web app | Full credits | 40% of original | **60% saved** |
| Research report | 12 minutes | 2 minutes | **6x faster** |
| Average across all tasks | Baseline | 47% less | **47% saved** |
来源
awesome · https://github.com/rafsilva85/credit-optimizer-v5
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