rafsilva85/credit-optimizer-v5

v5.2.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 2mo MCP Data & Storage

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

ai-agents ai-tools cost-optimization credit-optimizer manus-ai manus-skill

+3 more

mcp mcp-server python

Summary

AI summary

Credit Optimizer v5.2.0 adds three new tools for prompt analysis, optimization strategy, and golden rules.

Full changelog

What's New in v5.2.0

MCP Server (Free)

Published to PyPI: pip install mcp-credit-optimizer
Registered on Official MCP Registry: io.github.rafsilva85/credit-optimizer
Listed on Smithery.ai: rafsilva85/credit-optimizer

Tools Available

| 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

53 adversarial scenarios tested
~55% average savings across all scenarios
0% quality degradation verified

Install

pip install mcp-credit-optimizer

MCP Config

{
  "mcpServers": {
    "credit-optimizer": {
      "command": "mcp-credit-optimizer"
    }
  }
}

Full Changelog: https://github.com/rafsilva85/credit-optimizer-v5/commits/main

View diff on GitHub

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About rafsilva85/credit-optimizer-v5

Save 30-75% on Manus AI credits through intelligent model routing, smart testing, and context hygiene. Audited across 53 scenarios with zero quality loss.

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