ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Protein-Ligand Docking Score with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Evaluates protein-ligand binding affinity and interaction characteristics from docking poses.

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 · 4 capabilities

The complete Protein-Ligand Docking Score capability set.

These are the exact actions your AI can choose when you ask it to work with Protein-Ligand Docking Score.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Protein-Ligand Docking Score.

  1. 01

    Analyze interactions

    Identifies and categorizes the types of chemical bonds formed between the ligand and the protein

  2. 02

    Compare poses

    Compares multiple docking configurations to find the most stable binding mode

  3. 03

    Get binding energy

    Calculates the total estimated binding affinity for a specific docking pose

  4. 04

    Identify binding site

    Maps the specific protein residues that are in immediate proximity to the ligand

Observed, not estimated

873ms average. Fast in production.

Protein-Ligand Docking Score is checked daily against the live service.

Daily averagePeak 952ms
Aug 30Today
Fastest day
738ms
Slowest day
952ms
14-day trend
Slowing+22%

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 Protein-Ligand Docking Score, so you can see the experience inside your AI.

It does not authenticate your account with Protein-Ligand Docking Score. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Protein-Ligand Docking Score Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ciuUzOG1Qnl6b5M4bg8GJvku5vmnaipFWSX2VIUv/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 — Protein-Ligand Docking Score capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "protein-ligand-docking-score-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ciuUzOG1Qnl6b5M4bg8GJvku5vmnaipFWSX2VIUv/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 Protein-Ligand Docking Score owners ask.

  • 01

    How do I calculate the total binding affinity?

    You can use the get_binding_energy capability by providing a valid poseId. You can also optionally include solvation and entropy effects in the calculation.

  • 02

    Can I see which amino acids are interacting with my ligand?

    Yes, the identify_binding_site capability maps the specific protein residues in immediate proximity to the ligand based on a distance threshold.

  • 03

    How can I find the most stable docking configuration?

    Use the compare_poses capability with a list of poseIds to rank multiple configurations and identify the best binding mode.