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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use ML Experiment Costing with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate infrastructure, storage, and knowledge management costs for ML experiments.

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 ML Experiment Costing capability set.

These are the exact actions your AI can choose when you ask it to work with ML Experiment Costing.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through ML Experiment Costing.

  1. 01

    Evaluate archival efficiency

    Assesses the cost-saving impact of moving data from active to archival storage

  2. 02

    Get knowledge utility score

    Quantifies the value of the experiment history for research reproducibility

  3. 03

    Predict storage trajectory

    Forecasts the total storage volume needed over a specific time horizon

  4. 04

    Calculate monthly tracking cost

    Determines the total monthly operational expense for the tracking infrastructure

One connector, every AI

ML Experiment Costing 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 ML Experiment Costing 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

912ms average. Fast in production.

ML Experiment Costing is checked daily against the live service.

Daily averagePeak 912ms
Sep 5Today
Fastest day
908ms
Slowest day
912ms
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. 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 ML Experiment Costing, so you can see the experience inside your AI.

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

ML Experiment Costing Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_LpCrDK7YbLXumDZ1Yg3SufrVlCdTOf49sRuTis94/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 — ML Experiment Costing capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ml-experiment-tracking-cost-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LpCrDK7YbLXumDZ1Yg3SufrVlCdTOf49sRuTis94/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 ML Experiment Costing owners ask.

  • 01

    How do I calculate my monthly budget for experiment tracking?

    You can use the calculate_monthly_tracking_cost capability by providing your monthly experiment volume, average storage per experiment, metadata complexity, and search requirements.

  • 02

    Can I predict how much storage I will need in six months?

    Yes, use the predict_storage_trajectory capability. It calculates projected growth based on your current experiment rate and retention policy.

  • 03

    How does archival storage affect my costs?

    You can assess the savings by using evaluate_archival_efficiency, which calculates potential monthly savings when moving aged data to lower-cost storage tiers.

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