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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Neptune.ai with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage ML experiments via Neptune.ai. track training runs, monitor metrics, and audit model versions.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 6 capabilities

The complete Neptune.ai capability set.

These are the exact actions your AI can choose when you ask it to work with Neptune.ai.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Neptune.ai.

  1. 01

    List projects

    List accessible Neptune workspaces and projects

  2. 02

    Get attributes

    Get parameters mapped within an experiment runtime bounds

  3. 03

    Get project

    Get specific details for a targeted Neptune ML project

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Neptune.ai.

  1. 04

    Get user

    Get specific user credentials and availability details

  2. 05

    List models

    List trained tracking models packaged natively within a project

  3. 06

    Search runs

    Search explicitly tracked ML experimentation runs inside a project

Observed, not estimated

827ms average. Fast in production.

Neptune.ai is checked daily against the live service.

Daily averagePeak 1059ms
Aug 20Today
Fastest day
682ms
Slowest day
1059ms
14-day trend
Stable-1%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Neptune.ai, so you can see the experience inside your AI.

It does not authenticate your account with Neptune.ai. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Neptune.ai Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_HI0D1zHVFTWAvCQH47Rd6lplgg0GBJXVQZ0fMTHm/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.jsonCopy
{
  "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

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Neptune.ai owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.

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