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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Architecture Scorer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Get a quantitative risk score before deployment.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AI Architecture Scorer capability set.

These are the exact actions your AI can choose when you ask it to work with AI Architecture Scorer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Architecture Scorer.

  1. 01

    Analyze model risk

    Specifically identifies vulnerabilities caused by the AI model layer

  2. 02

    Evaluate data flow efficiency

    Assesses the overhead and complexity of the data movement logic

  3. 03

    Suggest architectural simplification

    Generates actionable advice to lower the overall system score

  4. 04

    Calculate complexity score

    Provides the primary quantitative assessment of the AI architecture

Observed, not estimated

827ms average. Fast in production.

AI Architecture Scorer is checked daily against the live service.

Daily averagePeak 977ms
Aug 27Today
Fastest day
716ms
Slowest day
977ms
14-day trend
Slowing+17%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Architecture Scorer, so you can see the experience inside your AI.

It does not authenticate your account with AI Architecture Scorer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Architecture Scorer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_5XqqwMQE9MRKz5VpdjAUthSM1q0vqF1fA18WBpxF/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Step-by-step instructions for each client are in the guide. How to connect

Who it's for

Built for the work AI Architecture Scorer owners hand off.

This MCP is built for technical teams responsible for designing and deploying complex AI systems. If your job involves connecting multiple models or managing intricate data pipelines, this capability gives you the necessary risk metrics. It helps you move from conceptual design to a stable, measurable blueprint.

  • 01

    ML Architect

    Designs the overall structure, using this MCP to validate feasibility and estimate technical debt.

  • 02

    MLOps Engineer

    Manages deployment pipelines, using this MCP to pre-check for scaling risks and failure points.

  • 03

    Data Scientist

    Builds the core logic, using this MCP to understand how data flow complexity impacts model performance.

FAQ

Questions AI Architecture Scorer owners ask.

  • 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.

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