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McPortfolio

Enables LLM-driven portfolio optimization using natural language, providing tools for mean-variance, HRP, Black-Litterman, and other optimization methods.

★ 6 starsupdated 405d agogithub ↗

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77fair

▣ Score BreakdownMCPScore = Σ(raw × weight)

DimensionRawWeighted

Security

35%

100

35.0

Freshness

25%

100

25.0

Adoption

20%

1.7

Quality

10%

100

10.0

Trust

10%

5.0

Total

76.7

⚿ Capabilities & Risk Explainer

fs readfs writeexeceval

◆ Risk level: high

fs read + fs write + exec + eval active — can execute code, access credentials, and make external network calls.

⚙ Install config

Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/ebrandler/mcportfolio

📈 Score historylast 27 snapshots

5/31/20267/21/2026 · 27 snapshots

⚙ Maintenance health

maintenance data not yet available — check back later.

⛁ Raw data

weekly downloads0

github stars6

forks5

open issues1

license✓ present

readme length22797 chars

last publish5d ago

last commit405d ago

last updated11d ago

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