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

Use Vector Index Estimator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Estimate ANN search performance, memory footprint, and optimal parameters.

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 Vector Index Estimator capability set.

These are the exact actions your AI can choose when you ask it to work with Vector Index Estimator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Vector Index Estimator.

  1. 01

    Get parameter recommendations

    Suggests optimal parameters for a target recall

  2. 02

    Calculate memory usage

    Estimates memory usage for a vector index

  3. 03

    Estimate search performance

    Estimates search performance tradeoff points

Observed, not estimated

627ms average. Fast in production.

Vector Index Estimator is checked daily against the live service.

Daily averagePeak 795ms
Aug 20Today
Fastest day
497ms
Slowest day
795ms
14-day trend
Slowing+16%

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 Index Estimator, so you can see the experience inside your AI.

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

Vector Index Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_N33Tt9r0kNlk9h9CQjDLut4LHlCfuA7wPCcdfONP/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 Index Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "vector-index-recall-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_N33Tt9r0kNlk9h9CQjDLut4LHlCfuA7wPCcdfONP/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 Index Estimator owners ask.

  • 01

    What algorithms are supported?

    The server supports HNSW (Hierarchical Navigable Small World) and IVF (Inverted File Index) algorithms.

  • 02

    How can I estimate the RAM needed for my index?

    Use the calculate_memory_usage capability. You will need to provide the total vector count, dimensions per vector, and the precision tier (float32, float16, or int8).

  • 03

    Can I get parameter suggestions for a specific recall target?

    Yes, the get_parameter_recommendations capability provides suggested ranges for parameters like efSearch or nprobe to help you reach your target recall percentage.

Explore

More in Analytics

Suggestions