io.github.oogunbiyi21/stats-compass

MCPcommunity
v0.3.0io.github.oogunbiyi21UnknownUpdated 2mo agoGitHub

50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows

Turn your LLM into a data analyst. Multiple data science tools via MCP. Note: The first connection may fail while downloads the package. If this happens, disable and re-enable Stats Compass in your MCP settings — subsequent connections will be instant. Restart your client and start asking questions about your data. Category | Examples | ----------|----------| Data Loading | Load CSV/Excel, sample…

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2mo agoLast update
Package
Authorio.github.oogunbiyi21
LicenseUnknown
Version0.3.0
Sourcemcp-registry
GitHuboogunbiyi21/stats-compass-mcp
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
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—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.3.17 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Turn your LLM into a data analyst. Multiple data science tools via MCP. Note: The first connection may fail while downloads the package. If this happens, disable and re-enable Stats Compass in your MCP settings — subsequent connections will be instant. Restart your client and start asking questions about your data. Category | Examples | ----------|----------| Data Loading | Load CSV/Excel, sample datasets, list DataFrames | Cleaning | Drop nulls, impute, dedupe, handle outliers | Transforms |…

Keywords
mcp