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nikhilnt

Track LLM token costs across Claude, GPT and Gemini. MCP server + CLI with optimization hints and $ savings estimates.

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50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
no elevated permissions
◆ Risk level: low
No elevated permissions requested — safe to connect.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/nikhilnt1234/TokenBurnRate
📈 Score historylast 3 snapshots
6/5/20266/6/2026 · 3 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated1d ago
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nikhilnt — MCP Score: 50/100 | MCPScore | Timeahead