How to Use the AI Token Counter MCP in VS Code Copilot

Give your VS Code Copilot agents context-awareness to stop token truncation before committing code.

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Connect AI Token Counter MCP to VS Code Copilot

Create your Vinkius account to connect AI Token Counter 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 AI Token Counter with VS Code Copilot

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Control Enterprise Context Limits in VS Code Copilot

The `count_tokens` tool integrates directly into your shared workspaces to keep agents from hitting hard API limits during massive refactoring jobs. It calculates the exact footprint of your files before any data is sent over the wire. This prevents broken code generation and keeps your pipeline moving. Your team avoids the frustration of half-finished agent tasks that just fail out of nowhere.

Team-Wide Prompt Optimization via MCP

Setting up this MCP Server across your engineering team ensures everyone uses the same deterministic counting standard. It brings predictability to automated code reviews and multi-file generations. By standardizing how your agents measure input sizes, you eliminate unexpected behavior across different developer environments. Your automated workflows run consistently, no matter who triggers them.

Local Sandbox Security for Enterprise Codebases

Running calculations offline with this MCP means your intellectual property never leaves your local workstation. The tool executes inside a secure V8 isolate, protecting sensitive files from external exposure. Security teams can rest easy knowing that no data is stored or cached. It provides a zero-trust path to keeping your development tools both smart and compliant.

Setup guide

Set up AI Token Counter 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 AI Token Counter 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 AI Token Counter tools listed. Try asking: "List my recent AI Token Counter transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "ai-token-counter-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about AI Token Counter MCP in VS Code Copilot

It lets your agent measure code size before submitting it to the model. This ensures the prompt stays within limits, preventing truncated responses.

Yes, you can configure it globally or commit the settings to your repository. This makes the tools instantly available to every engineer on your team.

Yes, all tokenization occurs locally on your machine. You do not need an active internet connection to measure your workspace files.

The tool processes large directories in memory within milliseconds. It gives your agent the telemetry needed to select only the most relevant files for the task.

This MCP only accesses the raw text strings you pass to it for measurement. All calculations happen in transit, and no data is ever written to disk or sent to external endpoints.

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