Conecta Neptuneai ML Experiment Tracking a ChatGPT y Claude

• 01 / 03Cómo auditar versiones de modelos
• 02 / 03Cómo monitorear métricas de ML
• 03 / 03Cómo consultar metadatos

Día más rápido

757ms

Día más lento

1087ms

Tendencia de 14 días

Estable-2%

Neptune.ai Connector

Todo listo. Elige tu cliente MCP y sigue las instrucciones de configuración.

Enlace del conectorhttps://edge.vinkius.com/vk_preview_HI0D1zHVFTWAvCQH47Rd6lplgg0GBJXVQZ0fMTHm/mcpCopiar

Claude Desktop

Sigue los pasos siguientes para conectarte en segundos.

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.

Configuración · claude_desktop_config.jsonCopiar

{
  "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

Las instrucciones paso a paso para cada cliente están en la guía. Cómo conectar

¿Configuración guiada para Claude? Conectar Neptune.ai con Claude y otras IA

Ve todos los clientes de IA con los que funciona este connector ↑

• 01

  Científicos de Datos

  Para monitorizar el progreso del entrenamiento y verificar métricas de modelos mediante chat sin usar dashboards.

• 02

  Ingenieros de ML

  Para auditar el registro de modelos y verificar atributos de experimentos directamente desde la terminal.

• 03

  Investigadores de IA

  Para rastrear versiones de modelos en producción y asegurar un registro de metadatos consistente en múltiples proyectos.

• 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 Conector de IA

  Manage machine learning experiments via Comet — track model metrics, audit project workspaces, and inspect ML

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• 

  Weights & Biases Conector de IA

  Track experiments, monitor ML runs, and manage artifacts on WandB — the developer platform for AI.

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  Hevo Data (ETL & Data Pipeline) Conector de IA

  Manage data pipelines via Hevo — list pipelines, monitor destinations, and track usage.

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  Dataiku DSS Conector de IA

  Manage data science via Dataiku — list projects and datasets, track pipeline jobs, run automation scenarios, a

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Sugerencias

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  Data Pipeline Prover Conector de IA

  A data team asked an AI to build an ETL pipeline. No schema contract. No idempotency. No freshness SLA. The pi

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• 

  ML Experiment Tracking Cost Analyzer Conector de IA

  Calculate infrastructure, storage, and knowledge management costs for ML experiments.

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• 

  DataRobot Conector de IA

  Manage AutoML via DataRobot — monitor projects and models, track deployments, and audit ML datasets directly f

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• 

  MLflow (ML Lifecycle Management) Conector de IA

  Manage ML lifecycle via MLflow — track training runs, monitor metrics, and audit the model registry.

  Ver