Credit Optimizer v5 for Manus AI

Optimizes Manus AI credit usage by 30-75% via intelligent model routing and smart testing.
★ 18MITai-ml
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# Credit Optimizer v5 for Manus AI

<!-- mcp-name: io.github.rafsilva85/credit-optimizer-v5 -->

> **Save 30-75% on Manus AI credits with zero quality loss.** ~55% average savings. Audited across 53 adversarial scenarios, 200+ tasks verified. Works as MCP server (free) or native Manus Skill ($9).

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**Available on:** [PyPI](https://pypi.org/project/mcp-credit-optimizer/) · [MCP Registry](https://registry.modelcontextprotocol.io) · [Smithery](https://smithery.ai/server/rafsilva85/credit-optimizer) · [GitHub](https://github.com/rafsilva85/credit-optimizer-v5) · [Landing Page](https://creditopt.ai)

---

## The Problem

Manus AI charges credits per task. Most users waste 30-75% of their credits because:

- Simple tasks run in Max mode when Standard would produce identical results
- Prompts contain redundant context that inflates token usage
- Tasks that could be batched are executed one by one
- Output formats are not optimized for the task type

**Credit Optimizer fixes all of this automatically.**

---

## How It Works

```
Your Prompt
    │
    ▼
┌──────────────────────────────────────────┐
│         Credit Optimizer v5              │
│                                          │
│  1. Intent Classification (12 categories)│
│  2. Complexity Scoring                   │
│  3. Model Routing (Standard vs Max)      │
│  4. Prompt Compression                   │
│  5. Batch Detection                      │
│  6. Context Hygiene                      │
│  7. Output Format Optimization           │
│                                          │
│  Result: Optimized strategy + savings %  │
└──────────────────────────────────────────┘
    │
    ▼
Same quality output, fewer credits
```

---

## Demo

```
> analyze_prompt("Build me a React dashboard with charts, auth, and database backend")

╔══════════════════════════════════════════════════════════════╗
║  CREDIT OPTIMIZER v5 — Analysis Report                      ║
╠══════════════════════════════════════════════════════════════╣
║                                                              ║
║  Intent:      code_generation (complex, multi-component)     ║
║  Model:       Max mode ✓ (correct for this complexity)       ║
║  Savings:     35-45% estimated                               ║
║  Quality:     0% loss                                        ║
║                                                              ║
║  Strategy: Split into 3 sequential tasks                     ║
║  ┌──────────────────────────────────────────────────────┐    ║
║  │ Task 1: Database schema + API routes (Standard)      │    ║
║  │ Task 2: Authentication flow (Standard)               │    ║
║  │ Task 3: React dashboard + charts (Max)               │    ║
║  └──────────────────────────────────────────────────────┘    ║
║                                                              ║
║  Optimizations applied:                                      ║
║  ✓ Model routing: Tasks 1-2 downgraded to Standard           ║
║  ✓ Batch detection: 3 focused tasks vs 1 monolithic          ║
║  ✓ Context hygiene: Removed redundant specifications         ║
║  ✓ Output format: Structured code blocks per component       ║
║                                                              ║
╚══════════════════════════════════════════════════════════════╝
```

```
> analyze_prompt("Translate this paragraph to Spanish")

╔══════════════════════════════════════════════════════════════╗
║  CREDIT OPTIMIZER v5 — Analysis Report                      ║
╠══════════════════════════════════════════════════════════════╣
║                                                              ║
║  Intent:      translation (simple)                           ║
║  Model:       Standard mode ✓ (Max unnecessary)              ║
║  Savings:     60-70% estimated                               ║
║  Quality:     0% loss                                        ║
║                                                              ║
║  Recommendation: Use Standard mode                           ║
║  Translation tasks produce identical quality in Standard.    ║
║  No splitting needed — single atomic task.                   ║
║