TurboVault

Markdown and Obsidian compatible knowledge graph.

TurboVault

Crates.io Docs.rs License Rust 1.90+

The ultimate Rust SDK and high-performance MCP server for Obsidian-flavored Markdown (.ofm) and standard .md vaults.

TurboVault is a dual-purpose toolkit designed for both developers and users. It provides a robust, modular Rust SDK for building applications that consume markdown directories, and a full-featured MCP server that works out of the box with Claude and other AI agents.


Two Ways to Use TurboVault

1. As a Rust SDK (For Developers)

Build your own applications, search engines, or custom MCP servers using our modular crates. TurboVault handles the heavy lifting of parsing .md and .ofm files, building knowledge graphs, and managing multi-vault environments.

  • Modular Architecture: Use only what you need (Parser, Graph, Search, etc.).
  • High Performance: Sub-100ms operations for most tasks.
  • Extensible: Easily build your own specialized MCP servers on top of our core logic.
  • SOTA Standards: Fully supports Obsidian-flavored Markdown (wikilinks, embeds, callouts).

2. As a Ready-to-Use MCP Server (For Users)

Transform your Obsidian vault into an intelligent knowledge system immediately. Connect TurboVault to Claude Desktop or any MCP-compatible client to gain 44 specialized tools for your notes.

  • Zero Coding Required: Install the binary and point it at your vault.
  • 44+ Specialized Tools: Searching, link analysis, health checks, and more.
  • Multi-Vault Support: Switch between personal and work notes seamlessly at runtime.

Core Crates (The SDK)

TurboVault is a modular system composed of specialized crates. You can depend on individual components to build your own tools:

CratePurposeDocs
turbovault-coreCore models, MultiVault management & typesDocs.rs
turbovault-parserHigh-speed .md & .ofm parserDocs.rs
turbovault-graphLink graph analysis & relationship discoveryDocs.rs
turbovault-vaultVault management, file I/O & atomic writesDocs.rs
turbovault-tools44+ MCP tool implementationsDocs.rs
turbovault-batchAtomic batch operationsDocs.rs
turbovault-exportExport & reporting (JSON/CSV/MD)Docs.rs
turbovaultMain MCP server binary / SDK orchestratorDocs.rs

Why TurboVault?

Unlike basic note readers, TurboVault understands your vault's knowledge structure:

  • Full-text search across all notes with BM25 ranking
  • Link graph analysis to discover relationships, hubs, orphans, and cycles
  • Vault intelligence with health scoring and automated recommendations
  • Atomic batch operations for safe, transactional multi-file edits
  • Multi-vault support with instant context switching
  • Runtime vault addition — no vault required at startup, add them as needed

Powered by TurboMCP

TurboVault is built on TurboMCP, a Rust framework for building production-grade MCP servers. TurboMCP provides:

  • Type-safe tool definitions — Macro-driven MCP tool implementation
  • Standardized request/response handling — Consistent envelope format
  • Transport abstraction — HTTP, WebSocket, TCP, Unix sockets (configurable features)
  • Middleware support — Logging, metrics, error handling
  • Zero-copy streaming — Efficient large payload handling

This means TurboVault gets battle-tested reliability and extensibility out of the box. Want to add custom tools? TurboMCP's ergonomic macros make it straightforward.

Quick Start

Installation

From crates.io

# Minimal install (7.0 MB, STDIO only - perfect for Claude Desktop)
cargo install turbovault

# With HTTP server (~8.2 MB)
cargo install turbovault --features http

# With all cross-platform transports (~8.8 MB)
# Includes: STDIO, HTTP, WebSocket, TCP (Unix sockets only on Unix/macOS/Linux)
cargo install turbovault --features full

# Binary installed to: ~/.cargo/bin/turbovault

From source:

git clone https://github.com/epistates/turbovault.git
cd turbovault
make release
# Binary: ./target/release/turbovault

Option 1: Static Vault (Recommended for Single Vault)

turbovault --vault /path/to/your/vault --profile production

Then add to ~/.config/claude/claude_desktop_config.json:

{
  "mcpServers": {
    "turbovault": {
      "command": "/path/to/turbovault",
      "args": ["--vault", "/path/to/your/vault", "--profile", "production"]
    }
  }
}

Option 2: Runtime Vault Addition (Recommended for Multiple Vaults)

Start the server without a vault:

turbovault --profile production

Then add vaults dynamically:

{
  "mcpServers": {
    "turbovault": {
      "command": "/path/to/turbovault",
      "args": ["--profile", "production"]
    }
  }
}

Once connected to Claude:

You: "Add my vault at ~/Documents/Notes"
Claude: [Calls add_vault("personal", "~/Documents/Notes")]

You: "Search for machine learning notes"
Claude: [Uses search() across the indexed vault]

You: "What are my most important notes?"
Claude: [Uses get_hub_notes() to find key concepts]

What Can Claude Do?

Search & Discovery

You: "Find all notes about async Rust and show how they connect"
Claude: search() -> recommend_related() -> get_related_notes() -> explain relationships

Vault Intelligence

You: "What's the health of my vault? Any issues I should fix?"
Claude: quick_health_check() -> full_health_analysis() -> get_broken_links() -> generate fixes

Knowledge Graph Navigation

You: "What are my most important notes? Which ones are isolated?"
Claude: get_hub_notes() -> get_isolated_clusters() -> suggest connections

Structured Note Creation

You: "Create a project note for the TurboVault launch with status tracking"
Claude: list_templates() -> create_from_template() -> write auto-formatted note

Batch Content Operations

You: "Move my 'MLOps' note to 'AI/Operations' and update all links"
Claude: move_note() + batch operations -> atomic multi-file update

Link Suggestions

You: "Based on my vault, what notes should I link this to?"
Claude: suggest_links() -> get_link_strength() -> recommend cross-references

44 MCP Tools Organized by Category

File Operations (5)

  • read_note — Get note content with hash for conflict detection
  • write_note — Create/overwrite notes (auto-creates directories)
  • edit_note — Surgical edits via SEARCH/REPLACE blocks
  • delete_note — Safe deletion with link tracking
  • move_note — Rename/relocate with automatic wikilink updates

Link Analysis (6)

  • get_backlinks — All notes that link TO this note
  • get_forward_links — All notes this note links TO
  • get_related_notes — Multi-hop graph traversal (find non-obvious connections)
  • get_hub_notes — Top 10 most connected notes (key concepts)
  • get_dead_end_notes — Notes with incoming but no outgoing links
  • get_isolated_clusters — Disconnected subgraphs in your vault

Vault Health & Analysis (5)

  • quick_health_check — Fast 0-100 health score (<100ms)
  • full_health_analysis — Comprehensive vault audit with recommendations
  • get_broken_links — All links pointing to non-existent notes
  • detect_cycles — Circular reference chains (sometimes intentional)
  • explain_vault — Holistic overview replacing 5+ separate calls

Full-Text Search (5)

  • search — BM25-ranked search across all notes (<500ms on 100k notes)
  • advanced_search — Search with tag/metadata filters
  • recommend_related — ML-powered recommendations based on content similarity
  • find_notes_from_template — Find all notes using a specific template
  • query_metadata — Frontmatter pattern queries

Templates (4)

  • list_templates — Discover available templates
  • get_template — Template details and required fields
  • create_from_template — Render and write templated notes
  • get_ofm_examples — See all Obsidian Flavored Markdown features

Vault Lifecycle (7)

  • create_vault — Programmatically create a new vault
  • add_vault — Register and auto-initialize a vault at runtime
  • remove_vault — Unregister vault (safe, doesn't delete files)
  • list_vaults — All registered vaults with status
  • get_vault_config — Inspect vault settings
  • set_active_vault — Switch context between multiple vaults
  • get_active_vault — Current active vault

Advanced Features (12)

  • batch_execute — Atomic multi-file operations (all-or-nothing transactions)
  • export_health_report — Export vault health as JSON/CSV
  • export_broken_links — Export broken links with fix suggestions
  • export_vault_stats — Statistics and metrics export
  • export_analysis_report — Complete audit trail
  • get_metadata_value — Extract frontmatter values (dot notation support)
  • suggest_links — AI-powered link suggestions for a note
  • get_link_strength — Connection strength between notes (0.0–1.0)
  • get_centrality_ranking — Graph centrality metrics (betweenness, closeness, eigenvector)
  • get_ofm_syntax_guide — Complete Obsidian Flavored Markdown reference
  • get_ofm_quick_ref — Quick OFM cheat sheet
  • get_vault_context — Meta-tool: single call returns vault status, available tools, OFM guide

Real-World Workflows

Initialize Without a Vault

# Server starts with NO vault required
response = client.call("get_vault_context")
# Returns: "No vault registered. Call add_vault() to get started."

response = client.call("add_vault", {
    "name": "personal",
    "path": "~/Documents/Obsidian"
})
# Auto-initializes: scans files, builds link graph, indexes for search

Multi-Vault Workflow

# Add multiple vaults
client.call("add_vault", {"name": "work", "path": "/work/notes"})
client.call("add_vault", {"name": "personal", "path": "~/notes"})

# Switch context instantly
client.call("set_active_vault", {"name": "work"})
search_results = client.call("search", {"query": "Q4 goals"})

client.call("set_active_vault", {"name": "personal"})
recommendations = client.call("recommend_related", {"path": "AI/ML.md"})

Vault Maintenance & Repair

# Quick diagnostic
health = client.call("quick_health_check")
if health["data"]["score"] < 60:
    # Deep analysis if needed
    full_analysis = client.call("full_health_analysis")

# Find and fix issues
broken = client.call("get_broken_links")
# Process broken links...

# Atomic bulk repair
client.call("batch_execute", {
    "operations": [
        {"type": "DeleteNote", "path": "old/deprecated.md"},
        {"type": "MoveNote", "from": "old/notes.md", "to": "new/notes.md"},
        # ... more operations
    ]
})

# Verify improvement
client.call("explain_vault")  # Holistic view

Content Discovery

# Find what matters
hubs = client.call("get_hub_notes")  # Top concepts
orphans = client.call("get_dead_end_notes")  # Incomplete topics

# Deep search
results = client.call("search", {"query": "machine learning"})

# Explore relationships
related = client.call("get_related_notes", {
    "path": "AI/ML.md",
    "max_hops": 3
})

# Get suggestions
suggestions = client.call("suggest_links", {"path": "AI/ML.md"})

Performance Profile

OperationTimeNotes
read_note<10msInstant with caching
get_backlinks, get_forward_links<50msGraph lookup
write_note<50msIncludes graph update
search (10k notes)<100msTantivy BM25
quick_health_check<100msHeuristic score
full_health_analysis1–5sExhaustive, use sparingly
explain_vault1–5sAggregates 5+ analyses
Vault initialization100ms–5sDepends on vault size

Key insight: Fast operations (<100ms) for common tasks, slower operations (1–5s) for exhaustive analysis. Claude uses smart fallbacks.

Configuration Profiles

ProfileUse Case
developmentLocal dev with verbose logging
productionProduction with security auditing and optimized logging
readonlyRead-only access for safe exploration
high-performanceLarge vaults (10k+ notes) with aggressive caching

SDK and Server Implementation

TurboVault is designed for two primary audiences: developers building on top of the Rust SDK and users looking for a standalone MCP server.

As a Standalone MCP Server

The quickest way to get started is using the pre-built binary. It's fully self-contained and optimized for performance:

  • Link-time optimization (LTO) for maximum speed
  • Configurable transports (STDIO, HTTP, WebSocket, TCP)
  • Zero external dependencies (just point it at your vault)
# Build the optimized binary
cargo build --release --features full

# Run it
./target/release/turbovault --vault /path/to/vault --profile production

As a Rust SDK (Library)

The core of TurboVault is a collection of modular crates. Use them to build your own search engines, knowledge management tools, or even your own specialized MCP servers.

// Use in your own Rust projects
use turbovault_core::MultiVaultManager;
use turbovault_vault::VaultManager;
use turbovault_tools::SearchEngine;

#[tokio::main]
async fn main() -> anyhow::Result<()> {
    // 1. Initialize the MultiVault manager
    let manager = MultiVaultManager::new();
    
    // 2. Add and initialize a vault (scans files, builds graph)
    manager.add_vault("notes", "/home/user/notes").await?;
    
    // 3. Perform high-level operations
    let vault = manager.get_vault("notes")?;
    let results = vault.search("machine learning")?;
    
    // 4. Use these components to build your own custom MCP server
    // or integrate into existing Rust applications.
    Ok(())
}

Each crate is published to crates.io, so you can depend on individual components or the full stack.

Architecture

Built as a modular Rust workspace:

turbovault-core        — Core types, MultiVaultManager, configuration
turbovault-parser      — OFM (Obsidian Flavored Markdown) parsing
turbovault-graph       — Link graph analysis with petgraph
turbovault-vault       — Vault operations, file I/O, atomic writes
turbovault-batch       — Transactional batch operations
turbovault-export      — JSON/CSV/Markdown export
turbovault-tools       — 44 MCP tool implementations
turbovault-server      — CLI and MCP server entry point (binary)

All crates are published to crates.io for public use.

Obsidian Flavored Markdown (OFM) Support

TurboVault fully understands Obsidian's syntax:

  • Wikilinks: [[note]], [[note|alias]], [[note#section]], [[note#^block]]
  • Embeds: ![[image.png]], ![[note]], ![[note#section]]
  • Tags: #tag, #parent/child/tag
  • Tasks: - [ ] Task, - [x] Done
  • Callouts: > [!type] Title
  • Frontmatter: YAML metadata with automatic parsing
  • Headings: Hierarchical structure extraction

Security

  • Path traversal protection — No access outside vault boundaries
  • Type-safe deserialization — Rust's type system prevents injection
  • Atomic writes — Temp file → atomic rename (never corrupts on failure)
  • Hash-based conflict detectionedit_note detects concurrent modifications
  • File size limits — Default 5MB per file (configurable)
  • No shell execution — Zero command injection risk
  • Security auditing — Detailed logs in production mode

System Requirements

  • Rust: 1.90.0 or later
  • OS: Linux, macOS, Windows
  • Memory: 100MB base + ~80MB per 10k notes
  • Disk: Negligible (index is in-memory)

Building from Source

git clone https://github.com/epistates/turbovault.git
cd turbovault

# Development build
cargo build

# Production build (optimized)
cargo build --release

# Run tests
cargo test --all

Or use the Makefile:

make build       # Debug build
make release     # Production build
make test        # Run tests
make clean       # Clean build artifacts

Documentation

Docs

Examples

Example 1: Search-Driven Organization

You: "What topics do I have the most notes on?"
Claude:
  1. get_hub_notes() -> [AI, Project Management, Rust, Python]
  2. For each hub:
     - get_related_notes() -> related topics
     - get_backlinks() -> importance/connectivity
  3. Report: "Your core topics are AI (23 notes) and Rust (18 notes)"

Example 2: Vault Health Improvement

You: "My vault feels disorganized. Help me improve it."
Claude:
  1. quick_health_check() -> Health: 42/100
  2. full_health_analysis() -> Issues: 12 broken links, 8 orphaned notes
  3. get_broken_links() -> List of specific broken links
  4. suggest_links() -> AI-powered link recommendations
  5. batch_execute() -> Atomic fixes
  6. explain_vault() -> New health: 78/100

Example 3: Template-Based Content Creation

You: "Create project notes for Q4 initiatives"
Claude:
  1. list_templates() -> "project", "task", "meeting"
  2. create_from_template("project", {
       "title": "Q4 Planning",
       "status": "In Progress",
       "deadline": "2024-12-31"
     })
  3. Creates structured note with auto-formatting
  4. Returns path for follow-up edits

Benchmarks

M1 MacBook Pro, 10k notes, production build:

  • File read: <10ms
  • File write: <20ms
  • Simple search: <50ms
  • Graph analysis: <200ms
  • Vault initialization: ~500ms
  • Memory usage: ~80MB

Roadmap

  • Real-time vault watching (VaultWatcher framework ready)
  • Cross-vault link resolution
  • Encrypted vault support
  • Collaborative locking
  • WebSocket transport (beyond MCP stdio)

Contributing

Contributions welcome! Please ensure:

  • All tests pass: cargo test --all
  • Code formats: cargo fmt --all
  • No clippy warnings: cargo clippy --all -- -D warnings

License

MIT License - See LICENSE for details

Links


Get started now: ./target/release/turbovault --profile production

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