Turbovault
UnclaimedMarkdown and OFM SDK w/ MCP server that transforms your Obsidian vault into an intelligent knowledge system
Install
cargo install turbovaultUnclaimed listing
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abandon_fanout
Discard a fanout without changing the base vault
advanced_search
Search with tag, frontmatter, path, and limit filters
batch_execute
One all-or-nothing commit with writebackend: git; direct stays sequential
begin_fanout
Open an isolated worktree for parallel agent writes
commit_fanout
Merge an active fanout back into its base vault
compare_notes
Similarity score, shared vocabulary, diff, and merge recommendation
delete_note
Safe deletion with link tracking
diff_notes
Unified diff between two notes
edit_note
Surgical edits via SEARCH/REPLACE blocks
find_duplicates
Near-duplicate detection (SimHash filter + TF-IDF verify)
find_notes_from_template
Find all notes using a specific template
find_similar_notes
Content-similar notes to a given note
full_health_analysis
Comprehensive vault audit with recommendations
get_backlinks
All notes that link TO this note
get_broken_links
All links pointing to non-existent notes
get_centrality_ranking
Graph centrality metrics (betweenness, closeness, eigenvector)
get_dead_end_notes
Notes with incoming but no outgoing links
get_forward_links
All notes this note links TO
get_hub_notes
Top 10 most connected notes (key concepts)
get_isolated_clusters
Disconnected subgraphs in your vault
get_link_strength
Connection strength between notes (0.0–1.0)
get_metadata_value
Extract frontmatter values (dot notation support)
get_notes_info
Metadata for multiple notes in a single call
get_related_notes
Multi-hop graph traversal (find non-obvious connections)
inspect_frontmatter
Schema inspection for SQL queries (feature: sql)
list_orphan_fanouts
Diagnose worktrees left by interrupted sessions
manage_tags
Add, remove, or list note tags
move_file
Move/rename non-note files (e.g. attachments, images)
move_note
Rename/relocate a note; Git-backed vaults atomically rewrite incoming wikilinks
query_frontmatter_sql
Arbitrary SQL against frontmatter via GlueSQL (feature: sql)
query_metadata
Frontmatter pattern queries
quick_health_check
Fast 0-100 health score (<100ms)
read_note
Get note content with hash for conflict detection
recommend_related
ML-powered recommendations based on content similarity
search
BM25-ranked search across all notes (<500ms on 100k notes)
search_by_frontmatter
Find notes by frontmatter key-value pair
semantic_search
TF-IDF semantic search with similarity scores and shared terms
suggest_links
AI-powered link suggestions for a note
update_frontmatter
Patch frontmatter fields (merge or replace)
write_note
Create/overwrite notes (auto-creates directories)