io.github.ArkNill/embgrep

MCPcommunity
v0.1.0io.github.ArkNillUnknownUpdated 3mo agoGitHub

Local semantic search — embedding-powered grep for files, zero external services.

Local semantic search — embedding-powered grep for files, zero external services. Search your codebase and documentation by meaning, not just keywords. embgrep indexes files into local embeddings and lets you run semantic queries — no API keys, no cloud services, no vector database servers. Local embeddings — Uses fastembed (ONNX Runtime), no API keys needed SQLite storage — Single-file index, no…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
3mo agoLast update
Package
Authorio.github.ArkNill
LicenseUnknown
Version0.1.0
Sourcemcp-registry
GitHubQuartzUnit/embgrep
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✓ Cleanv0.1.1 · 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

Local semantic search — embedding-powered grep for files, zero external services. Search your codebase and documentation by meaning, not just keywords. embgrep indexes files into local embeddings and lets you run semantic queries — no API keys, no cloud services, no vector database servers. Local embeddings — Uses fastembed (ONNX Runtime), no API keys needed SQLite storage — Single-file index, no external vector DB Incremental indexing — Only re-indexes changed files (SHA-256 hash comparison)…

Keywords
mcp