io.github.shinpr/mcp-local-rag

MCPcommunity
v0.15.1io.github.shinprUnknownUpdated 21d agonpmGitHub

Easy-to-setup local RAG server with minimal configuration

Local RAG for developers via MCP or CLI. Semantic search with keyword boost for exact technical terms — fully private, zero setup. Semantic search with keyword boost Vector search first, then keyword matching boosts exact matches. Terms like , error codes, and class names rank higher—not just semantically guessed. Smart semantic chunking Chunks documents by meaning, not character count. Uses…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
21d agoLast update
Package
Authorio.github.shinpr
LicenseUnknown
Version0.15.1
Sourcemcp-registry
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
Dependencies60 resolved+ · none vulnerable
Tool surface7 tools · 1 privileged
Security scan✓ Cleanv0.15.1 · 20d 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 RAG for developers via MCP or CLI. Semantic search with keyword boost for exact technical terms — fully private, zero setup. Semantic search with keyword boost Vector search first, then keyword matching boosts exact matches. Terms like , error codes, and class names rank higher—not just semantically guessed. Smart semantic chunking Chunks documents by meaning, not character count. Uses embedding similarity to find natural topic boundaries—keeping related content together and splitting…

Keywords
mcp