obsidian-hybrid-search
MCP Serverflowing-abyss/obsidian-hybrid-search
Obsidian Hybrid Search provides local hybrid retrieval combining semantic vectors, BM25 full-text, and fuzzy matching for Obsidian vaults. It exposes this engine through a CLI, MCP server, and native Obsidian plugin.
98 15MITUpdated 2026-08-10
86
GreatOverview
Obsidian Hybrid Search transforms an Obsidian vault into a robust local knowledge base and an intelligent context provider for AI agents. By integrating SQLite, FTS5, and sqlite-vec with reciprocal rank fusion (RRF), it allows users and agents to query notes via semantic similarity, keywords, aliases, tags, frontmatter, and graph relationships without sending private notes to external cloud services by default.
Capabilities
- ▸Hybrid search (BM25 + fuzzy title + semantic embeddings)
- ▸Model Context Protocol (MCP) server integration
- ▸CLI utility for indexing, filtering, reranking, and reading notes
- ▸Graph traversal and link/backlink discovery
- ▸Frontmatter, tag, and folder scope filtering
- ▸Local and remote embedding support
Best for
Enabling AI agents to search, read, and cite local Obsidian notes through MCP tool calls, Finding related notes, backlinks, and graph connections across personal knowledge vaults, Performing fast offline hybrid search with fuzzy matching and optional cross-encoder reranking
Works with
Claude CodeCursorGitHub CopilotChatGPTOpenCode
Evoa Score breakdown= Σ (score × weight)
86Task usefulness20%100 → +20.0
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%90 → +13.5
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%100 → +15.0
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%37 → +4.4
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%100 → +15.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%85 → +8.5
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%53 → +4.2
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total85.7 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Runs entirely locally by default using local SQLite databases and offline embedding models, ensuring vault data remains private unless optional remote OpenAI-compatible APIs are explicitly configured.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.