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Qartez MCP Server

@kuberstar

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基本情報

カテゴリ

その他

ライセンス

NOASSERTION

トランスポート

stdio

作者

kuberstar

投稿者

KUBERSTAR

Qartez MCP Server について

Semantic code intelligence MCP server for Claude Code - project maps, symbol search, impact analysis, and more

#code-analysis#developer-tools#tree-sitter#rust

Qartez MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Qartez MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Qartez Mcp?

Qartez Mcp is a code-intelligence MCP server that builds a pre-computed knowledge graph of a repository—symbols, imports, call edges, PageRank, git co-change, cyclomatic complexity—and serves it to AI assistants through the Model Context Protocol. It is designed to be consumed by language models rather than humans, cutting AI token usage by approximately 94% compared to traditional tools like grep, find, cat, and ls.

How to use Qartez Mcp?

Install via the one-liner: curl -sSfL https://qartez.dev/install | sh (macOS/Linux/WSL2) or the PowerShell equivalent for Windows. The installer places three binaries (qartez, qartez-guard, qartez-setup) and automatically configures every MCP-capable IDE it detects. Once installed, open any project; Qartez indexes it automatically on session start. Manual re-indexing is available with qartez --root /path/to/project --reindex. The file watcher keeps the index fresh as you edit.

Key features of Qartez Mcp

  • Pre-computed knowledge graph of the entire codebase
  • 43 MCP tools for querying symbols, impact, and structure
  • Supports 37 programming languages
  • Reduces AI token consumption by ~94% vs. grep-based approaches
  • Includes modification guard hooks for Claude Code
  • Works with 19 editors and agents out of the box
  • Platform support: macOS 13+, Ubuntu 22.04+, Windows, WSL2 (x86_64 and arm64)

Use cases of Qartez Mcp

  • Quickly find where a symbol is defined without scanning files
  • Assess the blast radius before editing an important file
  • Identify high-risk code via hotspot analysis (complexity × PageRank × churn)
  • Detect dead exports and structural code clones across the repository
  • Enforce architecture boundaries by declaring import rules

よくある質問

1

What does Qartez Mcp do differently from grep or find?

It builds a pre-computed knowledge graph once and serves it through MCP, so the AI assistant queries the index instead of scanning files byte-by-byte. This reduces token usage by ~94% and avoids re-reading the same directories on every question.

2

What editors and agents does it support?

Claude Code, Claude Desktop, Gemini, Cursor, Windsurf, Kiro, Zed, Continue.dev, Copilot CLI, Amazon Q, Amp, Cline, Roo Code, Goose, Warp, Augment, OpenCode, Codex CLI, and Antigravity.

3

What languages does Qartez Mcp support?

37 languages are supported (the README does not list them individually, but the badge confirms the number).

4

How do I install Qartez Mcp?

Use the one-liner `curl -sSfL https://qartez.dev/install | sh` (macOS/Linux/WSL2) or the PowerShell script for Windows. Alternatively, clone the repository and run `make deploy`. The installer downloads pre-built binaries, verifies SHA-256, installs three binaries, and configures detected IDEs.

5

What are the minimum runtime requirements?

macOS 13

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