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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Vector Similarity Threshold Enforcer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Compute exact vector similarity scores and enforce strict relevance thresholds for RAG pipelines.

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 Vector Similarity Threshold Enforcer capability set.

These are the exact actions your AI can choose when you ask it to work with Vector Similarity Threshold Enforcer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Vector Similarity Threshold Enforcer.

  1. 01

    Calculate similarity

    Provide the metric type and an optional threshold. Computes a specific similarity score between two vectors using a chosen metric

  2. 02

    Check threshold violation

    Identifies how far a score has fallen below the required standard

  3. 03

    Validate vector format

    Pre-flight check to ensure vectors are compatible

Observed, not estimated

642ms average. Fast in production.

Vector Similarity Threshold Enforcer is checked daily against the live service.

Daily averagePeak 727ms
Aug 20Today
Fastest day
531ms
Slowest day
727ms
14-day trend
Stable0%

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 Vector Similarity Threshold Enforcer, so you can see the experience inside your AI.

It does not authenticate your account with Vector Similarity Threshold Enforcer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Vector Similarity Threshold Enforcer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_p65G2fMdRHUxodtQJTnDoaNsrYCK9IP8sJx5yPCE/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 — Vector Similarity Threshold Enforcer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "vector-similarity-threshold-enforcer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_p65G2fMdRHUxodtQJTnDoaNsrYCK9IP8sJx5yPCE/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 Vector Similarity Threshold Enforcer owners ask.

  • 01

    What metrics are supported for similarity calculation?

    The calculate_similarity capability supports Cosine, Dot Product, and Euclidean metrics.

  • 02

    How can I ensure my vectors are compatible before calculation?

    You should use the validate_vector_format capability to verify that all arrays have identical dimensions and contain only valid numbers.

  • 03

    What happens if a similarity score is below my required threshold?

    You can use check_threshold_violation to identify the exact severity of the violation and how far the score has fallen below your target.

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