ReplicateをChatGPT、Claude、Geminiに接続

• 01 / 03モデルコレクションを検索する方法
• 02 / 03予測状況の確認方法
• 03 / 03モデルの実行方法

最速日

676ms

最遅日

1227ms

14日間の傾向

安定-4%

Replicate API 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_ZjGhumvOdiFG6C4qZnstV0k6xajsQmuKnK85lhvV/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 — Replicate API capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "replicate-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ZjGhumvOdiFG6C4qZnstV0k6xajsQmuKnK85lhvV/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？ Replicate API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開発者・研究者

  Pythonのノートブックを書き換えることなく、新しいオープンソースアルゴリズムを迅速にテストできます。

• 02

  コンテンツクリエイター

  画像、音声、動画の生成タスクを、対話型アシスタントに直接依頼して実行できます。

• 03

  プロダクトビルダー

  自然言語の指示を用いて、複数の特化型モデルの出力をインテリジェントに組み合わせることができます。

• 01

  Do I need a GPU to use this MCP?

  No. All model execution happens on Replicate's hardware, not your local machine.

• 02

  How do I provide my credentials?

  You need to add your Replicate API Token to the MCP configuration settings after connecting.

• 03

  Can I stop a model that is currently running?

  Yes. You can use the cancel_prediction capability to stop any active task immediately.

• 04

  What kind of models can I run?

  You can run any open-source machine learning model available on the Replicate platform, including image, video, and audio models.

• 05

  How does the agent know what inputs a model needs?

  The agent uses the get_model capability to retrieve the exact schema and parameter requirements for any model you select.

• 06

  Can the agent pass a JSON payload directly into a Replicate model?

  Yes. You can utilize the create_prediction action and attach the payload parameter filled out with any required input schema (e.g., specific prompt, num_inference_steps). Since models change inputs constantly, you should always ask your assistant to fetch the schema details first via get_model to verify keys.

• 07

  Does the prediction command return results instantly?

  No, Replicate's API operates asynchronously. The initial command gives your assistant an ID. You must then ask your AI companion to query the get_prediction capability periodically using that generated ID until it displays the completed status along with the generated web URLs or generated strings.

• 08

  Can the AI browse trending or curated model collections?

  Yes. Use the list_collections capability to browse curated groups of models organized by category. such as image generation, text-to-speech, or video. Each collection includes a slug and description so you can quickly identify the right set of models for your use case.

• 

  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.

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• 

  Together AI AIコネクタ

  Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together A

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• 

  Replicate AIコネクタ

  Run ML models via Replicate — generate images, text, audio and video from community models, track predictions

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• 

  Leonardo.ai (Generative AI & Models) AIコネクタ

  Generate high-fidelity images via Leonardo.ai — orchestrate generations, audit AI models, and manage visual as

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