How to Use the AI Token Counter MCP in Cursor

Keep Cursor agents running smoothly by counting exact tokens locally before writing code.

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Connect AI Token Counter MCP to Cursor

Create your Vinkius account to connect AI Token Counter to Cursor 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 Cursor

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Perplexity

Prevent Agent Crashes During Large Code Refactors

The `count_tokens` tool analyzes your active workspace files locally to ensure your agent does not exceed context limits during complex edits. This stops the agent from losing track of your codebase structure or failing mid-generation. Instead of guessing whether a massive file will fit, the agent gets an exact count instantly. That's how you keep your coding session continuous and prevent broken, half-written files.

Optimize Token Consumption in Cursor Agent Mode

Running this local MCP Server cuts down on wasted API spend by letting your editor plan its prompts intelligently. It measures the precise size of your context window before dispatching requests. You avoid paying for redundant data or truncated outputs. The agent can choose to feed only the necessary code snippets, keeping your development fast and cost-effective.

Zero Latency Workspace Analysis

Processing token counts directly on your machine eliminates the need for external network calls during analysis. Your editor maintains its snappy performance even when scanning thousands of lines of code. This offline approach ensures that your MCP workflow remains uninterrupted. The agent gets the telemetry it needs in milliseconds, keeping your focus entirely on building software.

Setup guide

Set up AI Token Counter MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the AI Token Counter MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent AI Token Counter transactions." If the MCP tools are loaded correctly, Cursor will call the AI Token Counter tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/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 Cursor

It stops your agent from sending oversized code blocks that cause API errors. By measuring the exact size beforehand, your agent can chunk the code safely.

Yes, this MCP performs all calculations on your local machine. It does not require internet access to analyze your workspace files.

It handles files of any size quickly. The local sandbox processes the text in memory, providing an instant count without slowing down your editor.

You can drop a simple configuration file into your project root. This ensures every developer on your team has access to the same local tools.

Absolutely, your source code and raw text strings are processed entirely in transit within a local secure sandbox. No files or keys are ever sent to external databases or stored on disk.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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