MCPインテグレーションでCLI-firstのセマンティックコード検索**

⚠️Production Release (v2.5.56): 安定的かつ積極的に維持。 LanceDB は、より良いパフォーマンスと安定性のためのデフォルトバックエンドです。

近代的で高速でインテリジェントなコード検索ツールで、コードベースを管理分析とAST解析で理解できます。 開発者の生産性のために設計されているLanceDBによって動力を与えられたPythonと造られる。

✨ 機能

OST コア機能

-Semantic Search: キーワードではなく、意味でコードを見つける

• AST-Aware Parsing:コード構造(関数、クラス、メソッド)の理解 -マルチ言語サポート:13の言語 - Python、JavaScript、TypeScript、C#、Dart/Flutter、PHP、Ruby、Java、Go、Rust、HTML、Markdown/Text(拡張可能なアーキテクチャ付き) -Knowledge Graph: 組織抽出と関係マッピング(kg build])、 kg status、 [kg query]のKuzuDBの一時的な知識グラフ
• インタラクティブな可視化: 5+ビューでD3.jsを搭載した視覚化(Treemap、Sunburst、フォースグラフ、ナレッジグラフ、ヒートマップ) -開発物語:[story]コマンドでgit履歴の物語を生成します(マークダウン、JSON、HTML出力)

MCP Vector Search

🔍 CLI-first semantic code search with MCP integration

⚠️ Production Release (v2.5.56): Stable and actively maintained. LanceDB is now the default backend for better performance and stability.

A modern, fast, and intelligent code search tool that understands your codebase through semantic analysis and AST parsing. Built with Python, powered by LanceDB, and designed for developer productivity.

✨ Features

🚀 Core Capabilities

• Semantic Search: Find code by meaning, not just keywords
• AST-Aware Parsing: Understands code structure (functions, classes, methods)
• Multi-Language Support: 13 languages - Python, JavaScript, TypeScript, C#, Dart/Flutter, PHP, Ruby, Java, Go, Rust, HTML, and Markdown/Text (with extensible architecture)
• Knowledge Graph: Temporal knowledge graph with KuzuDB for entity extraction and relationship mapping (kg build, kg status, kg query)
• Interactive Visualization: D3.js-powered visualization with 5+ views (Treemap, Sunburst, Force Graph, Knowledge Graph, Heatmap)
• Development Narratives: Generate git history narratives with story command (markdown, JSON, HTML output)
• Real-time Indexing: File watching with automatic index updates
• Automatic Version Tracking: Smart reindexing on tool upgrades
• Local-First: Complete privacy with on-device processing
• Zero Configuration: Auto-detects project structure and languages

🛠️ Developer Experience

• CLI-First Design: Simple commands for immediate productivity
• Rich Output: Syntax highlighting, similarity scores, context
• Fast Performance: Sub-second search responses, efficient indexing with pipeline parallelism (37% faster); IVF-PQ vector index delivers 4.9x faster queries (3.4ms vs 16.7ms)
• Modern Architecture: Async-first, type-safe, modular design
• Semi-Automatic Reindexing: Multiple strategies without daemon processes
• 17 MCP Tools: Comprehensive MCP integration for AI assistants (search, analysis, documentation, KG, story generation)
• Chat Mode: LLM-powered code Q&A with iterative refinement (up to 30 queries), deep search, and KG query tools
• CodeT5+ Embeddings: Code-specific embeddings via index-code command (Salesforce/codet5p-110m-embedding)

🔧 Technical Features

• Vector Database: LanceDB (serverless, file-based)
• Embedding Models: Configurable sentence transformers with GPU acceleration
• Smart Reindexing: Search-triggered, Git hooks, scheduled tasks, and manual options
• Extensible Parsers: Plugin architecture for new languages
• Configuration Management: Project-specific settings