Credit Optimizer v5 for Manus AI
io.github.rafsilva85Published by GitHub account rafsilva85v5.2.0Updated Oct 24, 2026
Optimizes Manus AI credit usage by 30-75% via intelligent model routing and smart testing.
The publisher's own server: Signal Sprint
Overview
A local MCP server that routes prompts to cheaper Manus AI models and modes to reduce credit usage.
- What you can do
- Credit Optimizer v5 analyzes a prompt before execution and picks what it claims is the cheapest path with identical quality. It classifies intent across categories such as code, research, creative, data and translation, chooses between Standard and Max model routing, detects simple Q&A that can run in Chat Mode, groups related tasks, and compresses accumulated context. The README also describes a separate Fast Navigation component that replaces browser tool calls with programmatic fetching, but that component is not part of the free MCP server.
- When to use it
- Worth considering if you use Manus AI heavily and want to cut credit consumption on routine prompts. The README states the MCP server only saves credits when you explicitly call it, unlike the paid skill version that runs automatically.
- Requirements
- Python with the mcp-credit-optimizer package installed from PyPI, run as a local stdio process (python -m mcp_credit_optimizer) and added to an MCP client configuration. Desktop only; no web executable. No authentication, environment variables or headers are declared.
Installation
In SourceWeft
- Open Credit Optimizer v5 for Manus AI in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
[PyPI Version] [Downloads] [License: MIT] [Manus AI] [Stars] [Quality Loss] [Scenarios] [Sales]
Manus Power Stack
47% of your Manus credits are being wasted. This fixes it automatically.
Zero downsides. 47% average savings. Pays for itself in ~36 prompts. Audited across 53 adversarial scenarios. Quality Veto Rule: if it can't save without loss, it doesn't touch your task.
Get it: Landing Page · Gumroad ($12) · Power Bundle ($12) · SkillFlow Free MCP Server: PyPI · Smithery
As Seen On
Dev.to · PulseMCP · Smithery · MCPServers.org · Agensi.io · Indie Hackers · Awesome Manus AI
Why Your Credits Disappear
Manus charges credits per task. Most users waste 30–75% because of four default behaviors:
These aren't bugs. They're default settings. The Power Stack overrides all four.
Zero Downsides
This is the most important thing to understand:
The Power Stack can never make things worse. It has a hardcoded Quality Veto Rule: if an optimization would reduce output quality by even 1%, it skips that optimization entirely. In the worst case, it does nothing. In the best case, it saves you 75%.
There is no scenario where installing the Power Stack produces a worse result than not having it.
What's Inside
Credit Optimizer v5 — Smart Routing
Analyzes every prompt before execution and decides the cheapest path that delivers identical quality.
- Intent Classification across 12 categories (code, research, creative, data, translation...)
- Model Routing: Standard vs Max — only uses Max when complexity genuinely requires it
- Chat Mode Detection: Routes simple Q&A to Chat Mode ($0 cost)
- Batch Detection: Groups related tasks to reduce overhead
- Context Hygiene: Compresses accumulated context to keep token costs linear
Fast Navigation v2.0 — Raw Speed
Replaces slow browser tool calls with a programmatic toolkit.
- httpx + selectolax replaces Playwright overhead (30–2,000x faster)
- Browser Cookie Bridge for authenticated sites
- Async parallel fetching — 10 URLs in 1.3 seconds instead of 150+ seconds
- Intelligent disk caching with TTL — repeated visits are instant
Together: The Compound Effect
Credit Optimizer decides what to optimize. Fast Navigation decides how fast to execute it. Together, they multiply:
The Math: Payback in ~36 prompts
The Power Stack costs $9 one-time (or $12 for the bundle with Fast Navigation). Here's how fast it pays for itself:
After payback, every prompt saves you money. For the rest of your Manus subscription. Forever.
Annual savings estimate: ~$500–$1,000+ depending on usage.
Installation
As Manus Skill (recommended — $9 individual / $12 bundle)
- Purchase from Gumroad or SkillFlow
- Copy skill files to
~/skills/credit-optimizer/and~/skills/fast-navigation/ - Both activate automatically on every task — no configuration needed
As MCP Server (free — Credit Optimizer only)
Add to your MCP config:
Works with Claude Desktop, Cursor, Windsurf, Copilot, and any MCP-compatible client.
Why pay when the MCP server is free? The MCP server saves credits when you remember to call it. The Manus Skill saves credits on every single prompt automatically — no manual invocation needed. The Skill also includes Fast Navigation (115x speed boost), which is not available as MCP.
Audit Results
All 53 test scenarios pass with zero quality degradation:
What Users Say
"Everyone hates the Manus credit-based system. It's insane how fast credits burn." — Reddit, 90 upvotes
"I used 100,000 credits in a week and a half. That's my entire monthly allocation gone." — Reddit
"Manus is so expensive it's absurd. $200/month and credits still run out." — Reddit
The Power Stack exists because these frustrations are real — and fixable.
Resources
- Awesome Manus AI — Curated list of Manus AI resources, tools, and tips
- Pricing Guide 2026 — Complete Manus AI pricing breakdown
- Standard vs Max Guide — When to use each mode
- Tutorial — Complete beginner's guide
- Glossary — 30+ Manus AI terms explained
- Roadmap — What's coming next
Links
License
MIT — see LICENSE for details.
Built by Rafael Silva · creditopt.ai
Source: README.md at commit 37eb57a
Tools
0Version history
1- v5.2.0LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Other Manus integrations
Signal Sprint
space.manus.signalsprint-mqysbkshOfficial publisher
A remote MCP server offering paid x402 utilities for Base-USDC balances, blocks, gas, HTTPS headers and agent profile bios.
manus
Published by GitHub account doc2mcp
A hosted MCP server that turns a crawled documentation site into searchable tools, letting an assistant list, read, search and ask questions about those docs.