ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Protein Structure Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict protein secondary structures like alpha-helices and beta-sheets from amino acid sequences.

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 Protein Structure Predictor capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Protein Structure Predictor.

  1. 01

    Get amino acid propensities

    Retrieves the specific propensity values for amino acids used in secondary structure prediction

  2. 02

    Compare prediction methods

    Compares the results of Chou-Fasman and GOR methods for a single sequence

  3. 03

    Predict structure chou fasman

    Predicts the secondary structure of a protein sequence using the Chou-Fasman statistical propensity method

  4. 04

    Predict structure gor

    Note that GOR requires a minimum sequence length for window calculation. Predicts the secondary structure of a protein sequence using the GOR (information theory) approach

Observed, not estimated

810ms average. Fast in production.

Protein Structure Predictor is checked daily against the live service.

Daily averagePeak 930ms
Aug 30Today
Fastest day
695ms
Slowest day
930ms
14-day trend
Slowing+18%

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

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

Protein Structure Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ikmfZm8xYgozQnq0BgBnevedFolkZQC9ZWtLxBQb/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 Structure Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "protein-secondary-structure-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ikmfZm8xYgozQnq0BgBnevedFolkZQC9ZWtLxBQb/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 Structure Predictor owners ask.

  • 01

    What methods are used for prediction?

    The server implements the Chou-Fasman statistical propensity method and the GOR (Garnier-Osguthorpe-Robson) information theory approach.

  • 02

    How can I compare different prediction results?

    You can use the compare_prediction_methods capability to run both Chou-Fasman and GOR algorithms on the same sequence and see the differences in helix and sheet percentages.

  • 03

    What input format is required?

    The capabilities require a string representing the primary amino acid sequence using standard single-letter codes (e.g., 'MVLSA').