Credit Optimizer v5 for Manus AI

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).

PyPI PyPI Downloads License: MIT Python 3.10+ MCP Compatible Stars

Available on: PyPI · MCP Registry · Smithery · GitHub · Landing Page

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.                   ║
║                                                              ║
╚══════════════════════════════════════════════════════════════╝

Real Results

Metric	Value
Credit savings range	30–75%
Average savings (across all task types)	~55%
Quality loss	0%
Real tasks analyzed	200+
Adversarial test scenarios	53 (all passing)
Vulnerabilities found & fixed	12

Quick Start

Option 1: MCP Server (Free)

Works with Claude Desktop, Cursor, Windsurf, Copilot, and any MCP-compatible client.

# Install from PyPI (recommended)
pip install mcp-credit-optimizer
python -m mcp_credit_optimizer

Or install from source:

git clone https://github.com/rafsilva85/credit-optimizer-v5.git
cd credit-optimizer-v5
pip install -e .
python -m mcp_credit_optimizer

Add to your MCP config (claude_desktop_config.json or equivalent):

{
  "mcpServers": {
    "credit-optimizer": {
      "command": "python",
      "args": ["-m", "mcp_credit_optimizer"]
    }
  }
}

Option 2: Manus Skill (Native Integration)

The Manus Skill runs automatically on every task — no manual prompting needed.

Get the Manus Skill — $9 →

One-time payment. Lifetime updates. 30-day money-back guarantee.

MCP Tools

Tool	Description
`analyze_prompt`	Analyze a prompt and get optimization recommendations with estimated savings
`get_optimization_strategy`	Get detailed strategy with model routing, prompt compression, and batch detection
`get_golden_rules`	Get the 10 golden rules for credit-efficient Manus usage

Audit Results

All 53 test scenarios pass with zero quality degradation:

Category	Scenarios	Quality Loss
Code generation (Python, JS, React, SQL)	12	0%
Creative writing (blog, marketing)	8	0%
Data analysis (CSV, JSON, API)	7	0%
Research (multi-source synthesis)	6	0%
Translation & localization	5	0%
Bug fixing & debugging	5	0%
Documentation generation	5	0%
Mixed-intent tasks	5	0%

Why Pay When the MCP Server Is Free?

The Manus Skill gives you:

Auto-activation — runs on every task without you remembering to use it
Native integration — works inside Manus, not as an external tool
Priority updates — get new optimization patterns first
One-time $9 payment — no subscription, yours forever

The MCP server saves you credits when you remember to use it. The Manus Skill saves you credits on every single task automatically.

Community Feedback

"Excellent advice" — u/Business_Cheetah_689 on the optimization strategies

"This is exactly what I needed. Was burning through credits way too fast." — Reddit user

Contributing

Issues and PRs welcome! If you find a scenario where the optimizer reduces quality, please open an issue with the prompt and expected output.

License

MIT License — use it freely in personal and commercial projects.

Credit Optimizer v5