Deepinfra Serverless LLM InferenceをAIに接続

• 01 / 03RAGパイプラインの構築方法
• 02 / 03画像を生成する
• 03 / 03専門的な推論を実行する方法

最速日

749ms

最遅日

1117ms

14日間の傾向

安定0%

DeepInfra 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_RMvS2UlIMhdShOjNbZfqar6XAZE9QfzTMbaejxJY/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 — DeepInfra capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "deepinfra-serverless-llm-inference-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RMvS2UlIMhdShOjNbZfqar6XAZE9QfzTMbaejxJY/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？ DeepInfra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

  開発者

  GPUサーバーを管理することなく、強力なLLMをコーディングワークフローに統合できます。

• 02

  コンテンツクリエイター

  ワークスペース内で直接、高品質な画像やテキストのバリエーションを生成できます。

• 03

  データエンジニア

  サーバーレスの埋め込みエンドポイントを利用して、セマンティック検索のパイプラインを構築できます。

• 01

  How do I connect this MCP to my AI client?

  You subscribe to the MCP on Vinkius and enter your DeepInfra API Token. Once connected, you can use it immediately in Claude, Cursor, Windsurf, or other compatible clients.

• 02

  Which models can I use with this MCP?

  You can access a wide range of open-source models including DeepSeek-V3, Llama 3.3, and FLUX-1 via DeepInfra's infrastructure.

• 03

  Do I need to manage my own GPUs?

  No. This MCP uses DeepInfra's serverless infrastructure, so you don't have to manage or host any hardware.

• 04

  Can I use this for image generation?

  Yes. You can use the generate_image capability to create visuals from text prompts using models like FLUX or Stable Diffusion.

• 05

  What happens if a model doesn't follow OpenAI specs?

  You can use the run_native_inference capability to access specialized models for tasks like OCR or speech-to-text that don't follow standard specs.

• 06

  Which LLM models can I use with the chat capability?

  You can use any model hosted on DeepInfra, such as deepseek-ai/DeepSeek-V3 or meta-llama/Llama-3.3-70B-Instruct, by passing the model name to the create_chat_completion capability.

• 07

  How do I generate images using FLUX or Stable Diffusion?

  Use the generate_image capability. Simply provide the model name (e.g., black-forest-labs/FLUX-1-schnell) and your text prompt to receive the generated image URL.

• 08

  What is the 'run_native_inference' capability used for?

  It is used for models that don't follow the OpenAI chat/image spec, such as audio transcription (Whisper), specialized OCR models, or your own private model deployments on DeepInfra.

• 

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  Mistral AI (Frontier LLMs & Embeddings) AIコネクタ

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