Credit Optimizer v5 for Manus AI

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

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).

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

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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.

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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

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

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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

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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.

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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

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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%

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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.

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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

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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.

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<p align="center"> <strong>Built by <a href="https://github.com/rafsilva85">Rafael Silva</a></strong><br> <a href="https://creditopt.ai">creditopt.ai</a> · <a href="https://rafaamaral.gumroad.com/l/credit-optimizer-v5">Gumroad</a> · <a href="https://github.com/rafsilva85/credit-optimizer-v5">GitHub</a> </p>