How to Use the Abacus AI (Enterprise AI Cloud) MCP in VS Code Copilot

Deploy and train models using Abacus AI (Enterprise AI Cloud) within VS Code Copilot.

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Connect Abacus AI (Enterprise AI Cloud) MCP to VS Code Copilot

Create your Vinkius account to connect Abacus AI (Enterprise AI Cloud) to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Abacus AI (Enterprise AI Cloud) with VS Code Copilot

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Claude

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Shared MCP Server for engineering teams

Commit your config to `.vscode/mcp.json` so your entire team shares the same tools. Everyone uses `list_projects` to see the same organizational context. It keeps your team aligned on project status. No more guessing which model version is in production.

Deploy real-time endpoints

Use `create_deployment` to push your work to production environments. Your Copilot agent manages the process from your editor. Check your endpoint health with `describe_model`. You catch deployment issues before they reach your users.

Track datasets across the team

Manage shared data sources using `create_dataset`. Your team can query metadata with `describe_dataset` to ensure everyone uses the right training inputs. It stops version drift across your experiments. You have a single source of truth for your ML assets.

Setup guide

Set up Abacus AI (Enterprise AI Cloud) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Abacus AI (Enterprise AI Cloud) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Abacus AI (Enterprise AI Cloud) tools listed. Try asking: "List my recent Abacus AI (Enterprise AI Cloud) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "abacus-ai-enterprise-ai-cloud-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Common questions about Abacus AI (Enterprise AI Cloud) MCP in VS Code Copilot

Yes, commit the configuration file to your repository. Every team member gets access to the tools automatically.

It integrates directly into the chat interface. Your agent can execute training and deployment tasks on demand.

It brings your production ML environment into your development workflow. You manage your entire model lifecycle without leaving the IDE.

Yes, it integrates with your existing VS Code setup. All tool interactions are managed through secure endpoints provided by Vinkius.

All traffic is routed through encrypted channels. We never store your model parameters or training results within the VS Code environment, keeping your intellectual property isolated.

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