io.github.benseverndev-oss/infermap

MCPcommunity
v0.5.0io.github.benseverndev-ossUnknownUpdated 1mo agoGitHub

Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.

Moved. This repo has moved into the monorepo at . This repo is archived; new development happens in the monorepo. Inference-driven schema mapping engine. Map messy source columns to a known target schema — accurately, explainably, with zero config. is a schema-mapping engine. Give it any two field collections (CSVs, DataFrames, database tables, in-memory records) and it figures out which source…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.benseverndev-oss
LicenseUnknown
Version0.5.0
Sourcemcp-registry
GitHubbenseverndev-oss/infermap
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
→ Included automatically when the publisher runs `forge publish`
—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
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✓ Cleanv0.5.0 · 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

Moved. This repo has moved into the monorepo at . This repo is archived; new development happens in the monorepo. Inference-driven schema mapping engine. Map messy source columns to a known target schema — accurately, explainably, with zero config. is a schema-mapping engine. Give it any two field collections (CSVs, DataFrames, database tables, in-memory records) and it figures out which source field corresponds to which target field, with confidence scores and human-readable reasoning.…

Keywords
mcp