Leaching Kinetics ModelをChatGPTとClaudeに接続

最速日

703ms

最遅日

1079ms

14日間の傾向

遅延傾向+18%

Leaching Kinetics Model Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_IlzmLKj8wpOzGnnJJNeJKIzg65XRNNvO5EQTWdVv/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

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 — Leaching Kinetics Model capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "leaching-kinetics-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_IlzmLKj8wpOzGnnJJNeJKIzg65XRNNvO5EQTWdVv/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Leaching Kinetics ModelをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  冶金エンジニア

  浸出プロセスの速度論パラメータを算出し、プロセス制御に活用します。

• 02

  鉱山技術者

  鉱石の組成が抽出プロセスに与える影響を予測し、操業計画に役立てます。

• 03

  プロセス化学者

  実験データに基づいた理論的な回収モデルの構築と検証を行います。

• 01

  What metals can this MCP model?

  The MCP is designed for modeling the kinetics of gold and base metals.

• 02

  How does the MCP handle ore mineralogy?

  It uses the analyze_mineralogy_impact capability to evaluate how specific compositions affect leaching difficulty.

• 03

  Can I predict how long a leach cycle will take?

  Yes, the predict_leach_time capability estimates the time required to reach a specific metal extraction target.

• 04

  What kind of data do I need to provide for kinetic parameters?

  You need to provide experimental recovery data, including time and recovery percentages.

• 05

  Does this MCP work with Claude or Cursor?

  Yes, it works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 06

  How do I calculate the rate constant from my experimental data?

  You can use the get_kinetic_parameters capability by providing your recovery data as a JSON array of time and recovery objects along with the temperature used.

• 07

  Can this model predict how long a leach cycle will take?

  Yes, once you have the kinetic parameters, you can use predict_leach_time to estimate the duration needed to reach a specific target recovery level.

• 08

  How does mineralogy affect the leaching results?

  The analyze_mineralogy_impact capability evaluates how the specific composition of your ore affects the difficulty and the expected rate of the leaching process.

• 

  Leaching Circuit Design AIコネクタ

  Design metal extraction leaching circuits by modeling kinetics and equipment requirements.

  表示
• 

  Adsorption Kinetics Model AIコネクタ

  Analyze adsorption kinetics using pseudo-order and diffusion models.

  表示
• 

  Flotation Kinetics Modeler AIコネクタ

  Models flotation kinetics from test data to predict recovery and residence time.

  表示
• 

  Heap Leach Design Engineer AIコネクタ

  Professional engineering tool for designing gold and copper heap leach pads.

  表示

おすすめ

• 

  Modelbit (ML Model Deployments) AIコネクタ

  Deploy and call machine learning models directly from your AI agent using Modelbit's inference endpoints.

  表示
• 

  Leaching Process Design AIコネクタ

  Design efficient solid-liquid extraction processes using kinetic and equilibrium modeling.

  表示
• 

  Fermentation Kinetics Model AIコネクタ

  Models fermentation process kinetics to determine growth and production rates.

  表示
• 

  Shaking Table Design Engineer AIコネクタ

  Calculates physical parameters and capacity requirements for mineral processing shaking tables.

  表示