Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Retrieval Relevance Scorer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. A deterministic scoring engine that filters retrieved documents using Jaccard, TF-IDF, and coverage metrics.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Retrieval Relevance Scorer capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Retrieval Relevance Scorer.

  1. 01

    Analyze coverage gap

    Identifies which specific terms from a query are missing from the provided document set

  2. 02

    Get scoring config

    Retrieves the current operational scoring parameters and weight distributions

  3. 03

    Score documents

    Calculates relevance scores for a collection of documents against a single query

Observed, not estimated

822ms average. Fast in production.

Retrieval Relevance Scorer is checked daily against the live service.

Daily averagePeak 951ms
Aug 20Today
Fastest day
719ms
Slowest day
951ms
14-day trend
Stable+2%

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 Retrieval Relevance Scorer, so you can see the experience inside your AI.

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

Retrieval Relevance Scorer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Kx7cXouaqZrfTsnawEqwgyW4QrEjd9p5Y4I1xFB8/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 — Retrieval Relevance Scorer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "retrieval-relevance-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Kx7cXouaqZrfTsnawEqwgyW4QrEjd9p5Y4I1xFB8/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 Retrieval Relevance Scorer owners ask.

  • 01

    How does the scoring work?

    The engine calculates a composite score by combining Jaccard similarity, TF-IDF cosine similarity, and query term coverage using configurable weights.

  • 02

    Can I customize the weights?

    Yes, you can pass a custom weights object to the score_documents capability to prioritize different metrics like keyword overlap or TF-IDF.

  • 03

    How do I diagnose why a document was filtered out?

    You can use the analyze_coverage_gap capability to identify which specific terms from your query are missing from the retrieved documents.

Explore

More in Data Processing

Suggestions