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Qartez MCP Server

@kuberstar

基本信息

分类

其他

许可证

NOASSERTION

传输方式

stdio

作者

kuberstar

提交者

KUBERSTAR

关于 Qartez MCP Server

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

Qartez MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Qartez MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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