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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Abacus AI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Orchestrate complex machine learning tasks directly from your chat agent.

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 · 8 capabilities

The complete Abacus AI capability set.

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

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through Abacus AI.

  1. 01

    Describe dataset

    Returns metadata about a specific dataset

  2. 02

    List projects

    List all projects in your organization

  3. 03

    Create deployment

    Deploys a trained model to a real-time endpoint

  4. 04

    Create project

    Create a new project

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through Abacus AI.

  1. 05

    Describe model

    Returns the status and details of a model

  2. 06

    Get prediction

    Retrieves a prediction from a deployed model

  3. 07

    Train model

    Starts a training job for a model

  4. 08

    Create dataset

    Create a new dataset

Observed, not estimated

856ms average. Fast in production.

Abacus AI is checked daily against the live service.

Daily averagePeak 1027ms
Aug 20Today
Fastest day
739ms
Slowest day
1027ms
14-day trend
Slowing+21%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 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 Abacus AI, so you can see the experience inside your AI.

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

Abacus AI Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Lr50dCQPDxtMBNSIYHpuANfOgvy9zpJYnqAO4ozi/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 — Abacus AI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "abacus-ai-enterprise-ai-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Lr50dCQPDxtMBNSIYHpuANfOgvy9zpJYnqAO4ozi/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

Who it's for

Built for the work Abacus AI owners hand off.

If you spend time managing ML models, you'll use this MCP. It lets you manage the entire ML lifecycle—from data prep to live prediction—without leaving your development environment. It's built for people who need to automate complex, multi-step data science workflows.

  • 01

    Data Scientists

    Quickly check model training status or dataset metadata without having to switch to the Abacus web console.

  • 02

    ML Engineers

    Automate the deployment of trained models and test prediction endpoints directly from your IDE or terminal.

  • 03

    AI Product Managers

    Monitor project progress and verify model metrics using simple natural language queries.

FAQ

Questions Abacus AI owners ask.

  • 01

    What kind of ML tasks can this MCP handle?

    This MCP manages the full MLOps lifecycle. You can create projects, manage datasets, initiate model training, deploy models, and retrieve real-time predictions.

  • 02

    Do I need to use the Abacus web console for this?

    No. You manage your models and datasets directly from your AI client (like Claude or Cursor) using this MCP. It acts as a direct bridge to the Abacus AI Enterprise Cloud.

  • 03

    How do I check if my model is ready to use?

    You can use the describe_model capability to check the current status and details of any model. You can also query the model's health and metrics.

  • 04

    Is this just for viewing data, or can it actually train models?

    It's much more than viewing. You can use the train_model capability to start training jobs and the create_dataset capability to build new data sources.

  • 05

    What is required to connect this MCP?

    You must subscribe to the MCP and provide your valid Abacus AI API Key for authentication.

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