AI App Architecture Complexity ScoreをAIに接続

最速日

693ms

最遅日

969ms

14日間の傾向

安定0%

AI Architecture Scorer 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_5XqqwMQE9MRKz5VpdjAUthSM1q0vqF1fA18WBpxF/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 — AI Architecture Scorer capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "ai-app-architecture-complexity-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5XqqwMQE9MRKz5VpdjAUthSM1q0vqF1fA18WBpxF/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？ AI Architecture Scorer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

  機械学習エンジニア

  モデルの依存関係やデータパイプラインのボトルネックを特定し、実用的な改善策を得るために使用します。

• 02

  ソリューションアーキテクト

  複数のコンポーネントからなる大規模なAIシステムの全体的な複雑性スコアを算出し、設計の健全性を評価します。

• 03

  AI開発者

  新しいAI機能を組み込む際、既存のアーキテクチャへの影響や潜在的なリスクを事前に測定できます。

• 01

  Is this just a simple score, or does it tell me why the score is high?

  It's more than just a number. The MCP provides a quantitative score, but it also runs diagnostics to pinpoint the exact sources of complexity, like specific model dependencies or data bottlenecks.

• 02

  Can I use this for non-AI systems, like standard database pipelines?

  While it focuses on AI architectures, its capabilities evaluate general concepts like data flow efficiency and structural complexity. You must provide the details of the system you want scored.

• 03

  What is the difference between model risk and data flow efficiency?

  Model risk analyzes vulnerabilities within the AI model layer itself, focusing on how models call each other. Data flow efficiency assesses the overhead and complexity of moving and transforming the data between those models.

• 04

  Does this MCP require me to host anything?

  No. Vinkius hosts and manages this MCP. You connect your agent to the catalog, and you get access to the full suite of capabilities immediately.

• 05

  If the score is high, what do I do next?

  The MCP includes a capability that generates actionable advice. You can use this capability to get specific, technical suggestions on how to simplify the architecture and lower the overall complexity.

• 06

  How is the complexity score calculated?

  The score is derived by aggregating weights from model dependencies, pipeline types, inference patterns, latency requirements, and scaling factors using the calculate_complexity_score capability.

• 07

  Can I identify specific failure points in my model chain?

  Yes, by using the analyze_model_risk capability, you can identify primary failure points and specific vulnerabilities within your model dependency graph.

• 08

  How can I reduce my architecture's complexity score?

  You can use the suggest_architectural_simplification capability, which provides actionable recommendations based on your current score and architecture details.

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