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AI Dev Toolkit MCP Server

@ReadyPlayerSix

リポジトリ

基本情報

カテゴリ

開発者ツール

ライセンス

MIT license

トランスポート

stdio

作者

ReadyPlayerSix

AI Dev Toolkit MCP Server について

The AI Dev Toolkit is an all-in-one solution for managing Model Context Protocol (MCP) servers and enhancing AI assistants like Claude with advanced development capabilities.

AI Dev Toolkit 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": {
    "ai-dev-toolkit": {
      "command": "python",
      "args": [
        "install_unified.py"
      ]
    }
  }
}

AI Dev Toolkit 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 AI Dev Toolkit?

AI Dev Toolkit is an MCP server that enhances Claude Desktop with persistent code context, filesystem access, development tools, and AI-powered task management. It bridges projects and Claude, enabling codebase understanding, development assistance, and context retention across conversations.

How to use AI Dev Toolkit?

Clone the repository, install dependencies with pip install -r requirements.txt, then run python install_unified.py to register the server with Claude Desktop. Use commands like initialize_librarian, find_implementation, add_todo, and think to interact with its tools.

Key features of AI Dev Toolkit

  • AI Librarian for persistent code understanding and search
  • Unified MCP Server combining librarian and file system tools
  • Secure file access with directory management and operations
  • Enhanced code analysis for references, metrics, and related files
  • Task management with tracking, subtasks, and AI extraction
  • TaskBoard System and Think Tool (beta) for asynchronous processing

Use cases of AI Dev Toolkit

  • Help Claude understand a new codebase before starting development
  • Search for functions, classes, or references across a project
  • Manage and track development tasks directly from conversations
  • Automatically extract tasks from discussions with Claude
  • Analyse file structure and metrics for code reviews

よくある質問

1

What does the AI Librarian do?

It maintains a comprehensive index of your codebase, remembers code structure across conversations, tracks components like functions and classes, and provides smart search for implementations and references.

2

What are the prerequisites for installation?

Python 3.8 or higher and the latest version of Claude Desktop are required.

3

How do I configure the server?

The installation script automatically edits the Claude Desktop configuration file. Its location varies: `%APPDATA%\Claude Desktop\claude_desktop_config.json` on Windows, `~/Library/Application Support/Claude Desktop/claude_desktop_config.json` on macOS.

4

What should I do if the toolkit doesn't appear in Claude?

Ensure the configuration was saved correctly and restart Claude Desktop. For permission errors, check the allowed directories in the configuration. For connection issues, verify the configuration and restart the server.

5

What transports and authentication does the server use?

The README mentions "MCP Protocol support" and "Full compliance with Model Context Protocol standards", but does not specify transport details or authentication methods.

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