Connectez Neptuneai ML Experiment Tracking à votre IA

• 01 / 03Auditer les versions des modèles
• 02 / 03Suivre les métriques ML
• 03 / 03Interroger les métadonnées

Jour le plus rapide

757ms

Jour le plus lent

1087ms

Tendance sur 14 jours

Stable-2%

Neptune.ai Connector

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

Lien du connecteurhttps://edge.vinkius.com/vk_preview_HI0D1zHVFTWAvCQH47Rd6lplgg0GBJXVQZ0fMTHm/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 — Neptune.ai capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "neptuneai-ml-experiment-tracking-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HI0D1zHVFTWAvCQH47Rd6lplgg0GBJXVQZ0fMTHm/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 Neptune.ai avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Data Scientists

  Pour surveiller la progression des entraînements et vérifier les métriques sans naviguer manuellement dans les tableaux de bord.

• 02

  ML Engineers

  Pour auditer le registre des modèles et vérifier les attributs des expériences depuis leur terminal de travail.

• 03

  Chercheurs en IA

  Pour suivre les versions des modèles en production et garantir la cohérence des métadonnées sur plusieurs projets.

• 01

  How do I connect my Neptune.ai data to my AI client?

  You subscribe to the MCP on Vinkius and provide your Neptune.ai API Token. Once connected, you can use it immediately in Claude, Cursor, or Windsurf.

• 02

  Can I see my training loss curves through the AI?

  Yes, the MCP allows your agent to extract telemetry like accuracy metrics and loss curves from specific execution checkpoints.

• 03

  Does this work with my existing Neptune.ai projects?

  Yes, the MCP uses your API token to access the projects and workspaces already managed in your Neptune.ai account.

• 04

  What kind of models can I manage?

  You can list and retrieve trained models that have been promoted or logged within your Neptune.ai project registry.

• 05

  Is my API token secure?

  Vinkius manages your credentials and keeps them secure so you can connect your client once and stay connected.

• 06

  Can I see the accuracy metrics for a specific ML run through my agent?

  Yes. Use the get_attributes capability with your Project ID and Run ID. Your agent will retrieve the detailed telemetry logged during that execution, including accuracy, loss, and any custom attributes defined in your code.

• 07

  How do I check which model versions are currently stable in my registry?

  The list_models capability retrieves all packaged ML models within a project. Your agent will expose the promoted model versions, helping you distinguish between experimental runs and stable candidates ready for deployment.

• 08

  Can my agent search through hundreds of past ML experimentation runs?

  Absolutely. Use the search_runs capability with your Project ID. Your agent will query Neptune's tracking server to identify historical experiment state checkpoints, making it easy to locate specific training results across your entire research timeline.

• 

  Comet ML Connecteur IA

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• 

  Weights & Biases Connecteur IA

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• 

  Hevo Data (ETL & Data Pipeline) Connecteur IA

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• 

  Dataiku DSS Connecteur IA

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