NVIDIA API CatalogをChatGPTとClaudeに接続

• 01 / 03テキストを要約する方法
• 02 / 03埋め込みを生成する
• 03 / 03画像解析を実行する

最速日

719ms

最遅日

1116ms

14日間の傾向

遅延傾向+26%

NVIDIA API Catalog 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_LgfbZayzkE3ZBfq9HWv3rgeK69AXP0h3anUpakUy/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 — NVIDIA API Catalog capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "nvidia-api-catalog-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LgfbZayzkE3ZBfq9HWv3rgeK69AXP0h3anUpakUy/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？ NVIDIA API Catalog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

  AIエンジニア

  大規模な推論実行や、モデルのパラメータ制御を必要とする専門家。

• 02

  生成AIインテグレーター

  既存のシステムに最新の基盤モデルを組み込み、ワークフローを自動化する担当者。

• 03

  開発者

  NVIDIAの公開計算マトリックスを利用して、直接的なレスポンスを解析するプログラマー。

• 01

  What models can I access with this MCP?

  You can access various hosted configurations, including Nemotron and Llama3 architectures, by using the model listing capability.

• 02

  Do I need to manage my own NVIDIA SDK?

  No. This MCP acts as a proxy that handles the logic and mapping, bypassing the need for manual SDK configuration.

• 03

  How do I check if I have enough credits for a task?

  You can use the token quota capability to poll your current credit status and execution limits.

• 04

  Can this MCP handle images?

  Yes, the vision inference capability allows your agent to perform multimodal tasks on graphical data.

• 05

  Is this MCP ready to use immediately?

  Yes. Vinkius hosts the MCP, so you only need to connect your client once to start using the capabilities.

• 06

  Can I explicitly route specific embedding vectors natively using the NVIDIA integration matrix?

  Yes! Utilize generate_embeddings providing explicit logic extracting arrays natively isolating endpoints safely.

• 07

  How do I explicitly explore active LLMs natively hosted inside the NVIDIA catalog bounds?

  Target explicit matrices natively calling list_foundation_models returning catalog endpoints safely explicitly mapping bounds secure natively.

• 08

  Does this require local Docker execution mapping explicitly NVIDIA parameters transparently?

  No, this explicitly pings the hosted Cloud API. For local Docker metrics natively, switch to nvidia-nim-mcp enforcing natively local boundaries.

• 

  LiteLLM (LLM Proxy & Spend Tracking) AIコネクタ

  Manage your LLM gateway via LiteLLM — generate API keys, track spending, and orchestrate model fallback paths.

  表示
• 

  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
• 

  DeepInfra (Serverless LLM Inference) AIコネクタ

  Run top-tier LLMs, image generation, and embeddings via DeepInfra's serverless infrastructure directly from yo

  表示
• 

  AI Foundation Model Valuation Engine AIコネクタ

  Calculate enterprise value and market position for AI model companies.

  表示

おすすめ

• 

  Model Routing Efficiency Calculator AIコネクタ

  Optimize LLM selection by analyzing cost-quality trade-offs and task complexity.

  表示
• 

  AI Model Selection ROI Engine AIコネクタ

  Calculate and compare the ROI of different AI models based on cost, performance, and maintenance.

  表示
• 

  NVIDIA AI AIコネクタ

  Access LLMs, embeddings, code generation, and reasoning via NVIDIA API Catalog.

  表示
• 

  Model Routing Optimizer AIコネクタ

  A deterministic engine for selecting the optimal LLM based on cost, quality, and latency.

  表示