Connectez Replicate à ChatGPT, Claude et Gemini

• 01 / 03Découvrir des collections de modèles
• 02 / 03Suivre les prédictions
• 03 / 03Exécuter des modèles

Jour le plus rapide

676ms

Jour le plus lent

1227ms

Tendance sur 14 jours

Stable-4%

Replicate API Connector

Tout est prêt. Choisissez votre client MCP et suivez les instructions de configuration.

Lien du connecteurhttps://edge.vinkius.com/vk_preview_ZjGhumvOdiFG6C4qZnstV0k6xajsQmuKnK85lhvV/mcpCopier

Claude Desktop

Suivez les étapes ci-dessous pour vous connecter en quelques secondes.

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.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "replicate-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ZjGhumvOdiFG6C4qZnstV0k6xajsQmuKnK85lhvV/mcp"
    }
  }
}

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

Les instructions pas à pas pour chaque client sont dans le guide. Comment connecter

Configuration guidée pour Claude ? Configurer Replicate API avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Développeurs et chercheurs en IA

  Pour tester des algorithmes open-source sans modifier de code Python.

• 02

  Créateurs de contenu

  Pour déléguer la génération d'images, d'audio ou de vidéo à un assistant.

• 03

  Builders et intégrateurs

  Pour combiner intelligemment les résultats de différents modèles spécialisés.

• 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) Connecteur IA

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• 

  Together AI Connecteur IA

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

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• 

  Replicate Connecteur IA

  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) Connecteur IA

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

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