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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Amaranth Quality Analytics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyzes amaranth grain quality, nutritional value, and industrial suitability.

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 Amaranth Quality Analytics capability set.

These are the exact actions your AI can choose when you ask it to work with Amaranth Quality Analytics.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Amaranth Quality Analytics.

  1. 01

    Evaluate application suitability

    Recommends the best industrial use for the specific batch of grain

  2. 02

    Get flour yield potential

    Determines the expected amount of flour that can be produced from a batch of grain

  3. 03

    Get popping expansion ratio

    Predicts how much the grain will expand when subjected to heat

  4. 04

    Get protein quality score

    Evaluates the nutritional completeness of the grain based on amino acid balance

Observed, not estimated

773ms average. Fast in production.

Amaranth Quality Analytics is checked daily against the live service.

Daily averagePeak 1011ms
Aug 26Today
Fastest day
716ms
Slowest day
1011ms
14-day trend
Stable-3%

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 Amaranth Quality Analytics, so you can see the experience inside your AI.

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

Amaranth Quality Analytics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_fXpocOMyqoeCN2kKr7iuGNHSxq3wI2YEcmb32ULZ/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 — Amaranth Quality Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "amaranth-grain-quality-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fXpocOMyqoeCN2kKr7iuGNHSxq3wI2YEcmb32ULZ/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 Amaranth Quality Analytics owners ask.

  • 01

    How do I determine if my amaranth is suitable for puffed snacks?

    You can use the get_popping_expansion_ratio capability to predict expansion and then call evaluate_application_suitability to confirm if 'puffed' is a recommended application.

  • 02

    Can I account for different growing conditions?

    Yes, the get_protein_quality_score capability accepts a growingConditionsModifier to adjust the nutritional assessment based on soil and climate quality.

  • 03

    What inputs are needed for flour yield calculation?

    To use get_flour_yield_potential, you need to provide the thousand seed weight and a JSON string representing the seed size distribution.

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