rafsilva85/credit-optimizer-v5
by Various
Save 47% on Manus AI credits automatically. Zero downsides. Pays for itself in ~27 prompts. Free MCP Server (PyPI) + $12 Manus Skill bundle with Fast Navigation (115x speed boost).
MCP
rafsilva85/credit-optimizer-v5
Added 1 June 2026
Overview
A Python-based MCP server that reduces Manus AI credit consumption by 47% through prompt optimization and fast navigation. It bundles a free PyPI package with a $12 Manus Skill add-on that claims a 115x speed boost. The tool pays for itself after approximately 27 prompts.
Best for
Best for
Developers who frequently use Manus AI and want to reduce operational costs
Use cases
- Cut Manus AI credit costs during heavy batch processing
- Accelerate repetitive navigation tasks within Manus AI
- Integrate credit-saving optimizations into existing Python workflows
Notes
A Python-based MCP server that reduces Manus AI credit consumption by 47% through prompt optimization and fast navigation. It bundles a free PyPI package with a $12 Manus Skill add-on that claims a 115x speed boost. The tool pays for itself after approximately 27 prompts.
38 stars on GitHub. Last updated 2026-05-25. Licensed MIT.
Use cases
- Cut Manus AI credit costs during heavy batch processing
- Accelerate repetitive navigation tasks within Manus AI
- Integrate credit-saving optimizations into existing Python workflows
Pros
- Delivers a measurable 47% reduction in credit usage
- Quick payback period of roughly 27 prompts
- Free MCP server with optional paid skill upgrade
Cons
- Limited to Manus AI platform only
- Speed boost claims depend on the paid $12 bundle
- Small community with only 38 GitHub stars
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Delivers a measurable 47% reduction in credit usage
- Quick payback period of roughly 27 prompts
- Free MCP server with optional paid skill upgrade
Cons
- Limited to Manus AI platform only
- Speed boost claims depend on the paid $12 bundle
- Small community with only 38 GitHub stars
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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