Article ArchitectをChatGPT、Claude、Geminiに接続

• 01 / 02比較構成の作成方法
• 02 / 02技術記事の書き方

最速日

668ms

最遅日

1054ms

14日間の傾向

改善傾向-5%

Article Architect Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_UfFUhDaNgrtYkb5mus1d2vK7vsddtAtkFSDx7qvk/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Article Architect capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "article-architect-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UfFUhDaNgrtYkb5mus1d2vK7vsddtAtkFSDx7qvk/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Article ArchitectをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  ソフトウェアエンジニア

  新しい技術の導入や比較検討を行う際、単なる仕様書以上の、実用的なデータに基づいた記事を作成したい方。

• 02

  テクニカルライター

  技術的なトピックを扱う際、読者が「なぜそうなのか」という論理的な根拠を理解できる、深みのある記事構成を求めている方。

• 03

  コンテンツストラテジスト

  技術ブログの権威性を高め、読者に具体的な行動変容を促す、戦略的なコンテンツ設計を行いたい方。

• 01

  Is this just a fancy writing prompt?

  No. It's a structural validator. It doesn't just suggest improvements; it actively rejects the content if the thesis is too vague, the code is boilerplate, or the experience is generic. It forces a complete architectural overhaul of the argument.

• 02

  What kind of content is best for this MCP?

  Content that requires a strong opinion or comparison works best. Think about 'Why should we switch from X to Y?' or 'What is the hidden cost of adopting Z?' These topics are inherently argumentative.

• 03

  Do I need to provide production data myself?

  The MCP requires you to ground the argument in concrete details. You must provide metrics, failure scenarios, or specific production observations for the capability to validate the content.

• 04

  Does this work for non-technical topics?

  The capability is designed for technical writing. It relies on concepts like code evidence, metrics, and architectural tradeoffs, so stick to engineering or development topics.

• 05

  What is the difference between this and a standard AI article generator?

  Standard generators write tutorials. This MCP writes arguments. It demands that the article takes a side, exposes the limitations, and provides a clear path forward for the engineer reading it.

• 06

  Does Article Architect write the article?

  No. Article Architect generates zero content. It forces the AI agent to architect the article's argumentative structure. thesis, tradeoffs, code strategy, production evidence, reader transformation. before writing a single paragraph. The architecture then guides the writing. The capability validates structural depth, not prose quality.

• 07

  What is the difference between a thesis and a description?

  A description tells you what something IS: 'Docker is a containerization platform.' A thesis takes a POSITION: 'Docker Compose replaced our Kubernetes cluster for 8 of 12 services. saving $4,200/month in infrastructure but requiring manual rollback procedures we hadn't planned for.' If a smart engineer could disagree with it, you have a thesis.

• 08

  Why does it reject boilerplate code?

  Code in a technical article is EVIDENCE, not illustration. If the reader can find the same code in the official documentation, the code adds nothing. Every code block must support the thesis: a before/after comparison showing the improvement, a benchmark proving the claim, a failing test that passes after the fix, a production trace revealing the bottleneck. Boilerplate teaches syntax. Evidence proves arguments.

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