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ENJA

codebase-memory-mcp

MCP Server

DeusData/codebase-memory-mcp

An ultra-fast code intelligence engine that builds persistent knowledge graphs using tree-sitter and hybrid LSP for AI coding agents.

38.8k 3.1kMITUpdated 2026-08-13

Overview

Codebase Memory MCP is a high-performance native executable designed to index massive codebases rapidly across 158 languages. It leverages tree-sitter AST analysis and hybrid semantic type resolution to maintain a persistent knowledge graph, dramatically reducing token usage and tool call overhead for LLM coding assistants while providing an interactive 3D visualization UI and a session coordination daemon.

Capabilities

  • Full-repository indexing in milliseconds to minutes
  • Tree-sitter AST parsing for 158 programming languages
  • Hybrid LSP semantic type resolution for major languages
  • Persistent knowledge graph storage and querying (Cypher support)
  • Interactive 3D graph visualization UI at localhost:9749
  • Session coordination daemon for multi-agent synchronization
  • Infrastructure-as-code and K8s manifest indexing

Best for

Exploring large codebases with minimal token consumption, Tracing cross-file function call chains and dependencies, Analyzing architectural impacts and dead code across microservices, Interactively visualizing repository structure via a 3D graph UI

Works with

Claude CodeCursorGitHub CopilotCodex
Evoa Score breakdown= Σ (score × weight)
88
Task 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%95 → +14.3

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%40 → +4.8

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%80 → +12.0

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%90 → +9.0

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%100 → +8.0

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 total88.0 / 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 100% locally with no code leaving the machine. Reads local repositories and modifies local agent configuration files during installation. Release archives include checksum verification.

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.