io.github.flowing-abyss/obsidian-hybrid-search

MCPcommunity
v0.13.8io.github.flowing-abyssUnknownUpdated 21d agonpmGitHub

Search Obsidian vaults with hybrid full-text, fuzzy, semantic, and graph retrieval.

An MCP server and CLI tool that makes your Obsidian vault queryable by AI assistants. Indexes notes into SQLite with FTS5 full-text search, trigram fuzzy matching, and vector similarity — results are merged with Reciprocal Rank Fusion (RRF) and scored 0–1. Once connected, any MCP-compatible AI assistant can answer questions grounded in your actual notes: finding knowledge by meaning, exact…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
21d agoLast update
Package
Authorio.github.flowing-abyss
LicenseUnknown
Version0.13.8
Sourcemcp-registry
Trust Status
A
95/100Trusted
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)+5/5
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance✓ Sigstore-verified · 8dee1a2
Dependencies60 resolved+ · none vulnerable
Tool surface
Security scan✓ Cleanv0.13.8 · 20d ago
PROMPTdescriptionLinks to undeclared domains: img.shields.io, npmjs.com
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

An MCP server and CLI tool that makes your Obsidian vault queryable by AI assistants. Indexes notes into SQLite with FTS5 full-text search, trigram fuzzy matching, and vector similarity — results are merged with Reciprocal Rank Fusion (RRF) and scored 0–1. Once connected, any MCP-compatible AI assistant can answer questions grounded in your actual notes: finding knowledge by meaning, exact phrase, or title; traversing the wikilink graph; filtering by tag or folder; always citing the source…

Keywords
mcp