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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Semantic Density Scorer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyzes LLM capability descriptions to evaluate linguistic precision, verb density, and naming consistency.

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 · 3 capabilities

The complete Semantic Density Scorer capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Semantic Density Scorer.

  1. 01

    Calculate naming uniformity

    Checks if the parameter naming within the description follows a consistent casing convention

  2. 02

    Get clarity score

    Provides a final assessment of how well an LLM will understand the capability based on semantic markers

  3. 03

    Analyze description linguistics

    Evaluates the actionable quality of the text by measuring verb density

Observed, not estimated

805ms average. Fast in production.

Semantic Density Scorer is checked daily against the live service.

Daily averagePeak 934ms
Aug 20Today
Fastest day
634ms
Slowest day
934ms
14-day trend
Slowing+27%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Semantic Density Scorer, so you can see the experience inside your AI.

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

Semantic Density Scorer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ZgfgQL81tK2KxCGQ3HRK0AigWOuqKt5KVLonvnoZ/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 — Semantic Density Scorer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tool-description-semantic-density-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ZgfgQL81tK2KxCGQ3HRK0AigWOuqKt5KVLonvnoZ/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

FAQ

Questions Semantic Density Scorer owners ask.

  • 01

    What is verb density?

    Verb density is the ratio of imperative/action verbs to the total word count in a description. High density indicates more direct instructions for the LLM.

  • 02

    How does the clarity score work?

    The clarity score is a composite metric that rewards explicit return-type definitions and penalizes descriptions that are either too brief or too verbose.

  • 03

    Can I check for snake_case consistency?

    Yes, you can use calculate_naming_uniformity to verify if parameter names follow either camelCase or snake_case conventions.

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