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).
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.
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.
Built by Rafael Silva
creditopt.ai · Gumroad · GitHub