Loctree Ast

Install

curl -fsSL https://loct.io/install.sh | sh   # CLI + loctree-mcp
cargo install --locked loctree loctree-mcp   # Cargo, reproducible
npm install -g loctree                       # CLI only; published targets follow the latest npm release
brew install loctree/cli/loct                 # CLI via Homebrew tap
brew install loctree/mcp/loctree-mcp          # MCP via Homebrew tap

Public install channels track the latest published release, which can lag behind the workspace version on main. If you're validating a specific release, check crates.io, npm, or GitHub Releases rather than assuming branch parity.

Quick Start

Artifacts are stored in your OS cache dir by default (override via LOCT_CACHE_DIR). loct is the canonical CLI command. loctree remains available as a quiet compatibility alias.

loct                              # Scan project, write cached artifacts
loct --for-ai                     # AI-optimized overview (health, hubs, quick wins)
loct slice src/App.tsx --consumers # Context: file + deps + consumers
loct find useAuth                  # Find symbol definitions
loct find 'Snapshot FileAnalysis'  # Cross-match: where terms meet
loct impact src/utils/api.ts       # What breaks if you change this?
loct health                        # Quick summary: cycles + dead + twins
loct dead --confidence high        # Unused exports
loct cycles                        # Circular imports
loct twins                         # Dead parrots + duplicates + barrel chaos
loct audit                         # Full codebase review

What It Does

loctree captures your project's real dependency graph in a single scan, then answers structural questions instantly from the snapshot. Designed for AI agents that need focused context without reading every file.

Core capabilities:

• Holographic Slice - extract file + dependencies + consumers in one call
• Cross-Match Search - find where multiple terms co-occur (not flat grep)
• Dead Export Detection - find unused exports across JS/TS, Python, Rust, Go, Dart
• Circular Import Detection - Tarjan's SCC algorithm catches runtime bombs
• Handler Tracing - follow Tauri commands through the entire FE/BE pipeline
• Impact Analysis - see what breaks before you delete or refactor
• jq Queries - query snapshot data with jq syntax (loct '.files | length')

Why loctree

MCP Server

loctree ships as an MCP server for seamless AI agent integration:

loctree-mcp    # Start via stdio (configure in your MCP client)

7 tools: repo-view, slice, find, impact, focus, tree, follow. Each tool accepts a project parameter — auto-scans on first use, caches snapshots in RAM. Project-agnostic: analyze any repo without configuration.

{
  "mcpServers": {
    "loctree": {
      "command": "loctree-mcp",
      "args": []
    }
  }
}

Direct download users can also fetch signed release assets from the monorepo GitHub release page, which mirrors both the CLI and loctree-mcp tarballs.

Language Support

Auto-detects stack from Cargo.toml, tsconfig.json, pyproject.toml, pubspec.yaml, src-tauri/.

Holographic Slice

Extract 3-layer context for any file:

loct slice src/App.tsx --consumers

Slice for: src/App.tsx

Core (1 files, 150 LOC):
  src/App.tsx (150 LOC, ts)

Deps (3 files, 420 LOC):
  [d1] src/hooks/useAuth.ts (80 LOC)
    [d2] src/contexts/AuthContext.tsx (200 LOC)
    [d2] src/utils/api.ts (140 LOC)

Consumers (2 files, 180 LOC):
  src/main.tsx (30 LOC)
  src/routes/index.tsx (150 LOC)

Total: 6 files, 750 LOC

Cross-Match Search

Multi-term queries show where terms meet, not flat OR:

loct find 'Snapshot FileAnalysis'

=== Cross-Match Files (9) ===
  src/snapshot.rs: Snapshot(6), FileAnalysis(4)
  src/slicer.rs: Snapshot(2), FileAnalysis(3)
  ...

=== Symbol Matches (222 in cross-match files) ===
  src/snapshot.rs:20 - Snapshot [struct]
  src/types.rs:15 - FileAnalysis [struct]
  ...

=== Parameter Matches (4 cross-matched) ===
  src/slicer.rs:45 - snapshot: &Snapshot in build_slice(analyses: &[FileAnalysis])

jq Queries

Query snapshot data directly:

loct '.dead_parrots'                           # Dead code findings
loct '.files | length'                         # Count files
loct '.edges[] | select(.from | contains("api"))' # Filter edges
loct '.summary.health_score'                   # Health score

CI Integration

loct lint --fail --sarif > results.sarif        # SARIF for GitHub/GitLab
loct findings | jq '.dead_exports.total'        # Check dead export count
loct findings --summary | jq '.health_score'    # Health summary JSON

Crates

Development

make precheck        # fmt + clippy + check (run before push)
make install         # Install loct, loctree, loctree-mcp
make test            # Run all workspace tests
make publish         # Cascade publish to crates.io

Badge

[![loctree](https://img.shields.io/badge/analyzed_with-loctree-a8a8a8?style=flat&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgaGVpZ2h0PSIxNiIgdmlld0JveD0iMCAwIDE2IDE2Ij48cmVjdCB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIGZpbGw9IiMwMDAiLz48dGV4dCB4PSI4IiB5PSIxMiIgZm9udC1mYW1pbHk9Im1vbm9zcGFjZSIgZm9udC1zaXplPSIxMCIgZmlsbD0iI2E4YThhOCIgdGV4dC1hbmNob3I9Im1pZGRsZSI+TDwvdGV4dD48L3N2Zz4=)](https://crates.io/crates/loctree)

License

MIT OR Apache-2.0. See LICENSE-MIT and LICENSE-APACHE.

𝚅𝚒𝚋𝚎𝚌𝚛𝚊𝚏𝚝𝚎𝚍. with AI Agents ⓒ 2025-2026 Loctree Team