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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Feature Store Economics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate the economic impact, efficiency, and reuse value of machine learning feature stores.

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 Feature Store Economics capability set.

These are the exact actions your AI can choose when you ask it to work with Feature Store Economics.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Feature Store Economics.

  1. 01

    Calculate feature unit economics

    Determines the individual cost impact of each feature in the store

  2. 02

    Analyze latency storage tradeoff

    Evaluates the efficiency of the current storage strategy relative to latency requirements

  3. 03

    Estimate freshness impact

    Predicts how changing the frequency of feature updates will affect the total budget

  4. 04

    Evaluate feature reuse benefit

    Quantifies the economic advantage of using existing features for new models

One connector, every AI

Feature Store Economics works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Feature Store Economics to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

993ms average. Fast in production.

Feature Store Economics is checked daily against the live service.

Daily averagePeak 1051ms
Sep 5Today
Fastest day
993ms
Slowest day
1051ms
14-day trend
Improving-6%

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 Feature Store Economics, so you can see the experience inside your AI.

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

Feature Store Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_RKM9LMldURqZhRmDFfwrAeV0HiCi3lRAXrAqZOuR/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 — Feature Store Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "feature-store-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RKM9LMldURqZhRmDFfwrAeV0HiCi3lRAXrAqZOuR/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

Guided setup for Claude? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Feature Store Economics owners ask.

  • 01

    How can I calculate the cost of a single feature?

    You can use the calculate_feature_unit_economics capability by providing the total number of features, the total compute cost, and the total storage cost.

  • 02

    Can I predict how much more it will cost to increase feature freshness?

    Yes, the estimate_freshness_impact capability allows you to predict projected compute costs and the cost delta when changing the frequency of feature updates.

  • 03

    How do I know if my storage strategy is efficient?

    Use the analyze_latency_storage_tradeoff capability. It compares your current serving latency and storage costs against your target latency to provide an efficiency score and recommendation.

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