io.github.rasinmuhammed/misata

MCPcommunity
v0.8.0.post1io.github.rasinmuhammedUnknownUpdated 3mo agoGitHub

Complete package for synthetic data generation.

Realistic multi-table synthetic data that conforms to the outcome you specify exact revenue curves, fraud rates, and referential integrity, from a sentence, YAML, or your own database. No ML model, no real data. Most synthetic-data tools learn from a real dataset and imitate it. Misata works the other way: you declare the outcome you want : "monthly revenue rises from \$50k to \$200k," "fraud is…

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3mo agoLast update
Package
Authorio.github.rasinmuhammed
LicenseUnknown
Version0.8.0.post1
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
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CVE scan · clean+30/30
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Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ Cleanv0.8.0.4 · 2mo 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

Realistic multi-table synthetic data that conforms to the outcome you specify exact revenue curves, fraud rates, and referential integrity, from a sentence, YAML, or your own database. No ML model, no real data. Most synthetic-data tools learn from a real dataset and imitate it. Misata works the other way: you declare the outcome you want : "monthly revenue rises from \$50k to \$200k," "fraud is 3% in Q1 rising to 8% by Q4," "every customer's equals the sum of their orders" — and Misata…

Keywords
mcp