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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Retention Time Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict chromatography retention times, capacity factors, and selectivity using QSRR.

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 Retention Time Predictor capability set.

These are the exact actions your AI can choose when you ask it to work with Retention Time Predictor.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Retention Time Predictor.

  1. 01

    Analyze gradient efficiency

    Evaluate how a change in mobile phase composition (gradient) impacts the elution profile

  2. 02

    Calculate selectivity

    Determine how well two different compounds can be separated by a specific chromatographic setup

  3. 03

    Compare column performance

    Predict how switching between different column types will change the retention behavior for a set of compounds

  4. 04

    Predict retention time

    Calculate the expected retention time for a specific compound under defined chromatographic conditions

Observed, not estimated

852ms average. Fast in production.

Retention Time Predictor is checked daily against the live service.

Daily averagePeak 1023ms
Aug 29Today
Fastest day
789ms
Slowest day
1023ms
14-day trend
Improving-17%

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 Retention Time Predictor, so you can see the experience inside your AI.

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

Retention Time Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_M0PT38z3MivutwkEfPwMglBOY6ljKAqgwCHO3ySw/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 — Retention Time Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "retention-time-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_M0PT38z3MivutwkEfPwMglBOY6ljKAqgwCHO3ySw/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 Retention Time Predictor owners ask.

  • 01

    What inputs are required for retention time prediction?

    You must provide the SMILES string of the compound, the column properties (stationary phase, length, particle size), the mobile phase details, and the operating temperature.

  • 02

    Can I compare different columns for my compounds?

    Yes, use the compare_column_performance capability to predict how switching between different column types will change the retention behavior for a set of compounds.

  • 03

    How does temperature affect the results?

    The model applies temperature as a scaling factor to the base retention time, accounting for the increased kinetic energy and decreased interaction strength at higher temperatures.

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