How to Use the AI Token Counter MCP in Claude Code

Q: How do I install AI Token Counter in Claude Code?

Run the command claude mcp add --transport http ai-token-counter -- where the URL is your Vinkius endpoint. Make sure to put your transport flags before the MCP name. Use claude mcp list to verify the connection.

Count exact tokens locally in Claude Code to manage terminal context limits and prevent API truncation.

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Connect AI Token Counter MCP to Claude Code

Create your Vinkius account to connect AI Token Counter to Claude Code 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 Claude Code

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Perplexity

Terminal-Safe Context Tracking

The `count_tokens` tool allows your CLI agent to inspect large shell outputs, log files, or code buffers before piping them to remote APIs. This prevents terminal-bound agents from crashing due to oversized payloads. By checking token counts directly from your shell scripts or cron jobs, you ensure stable execution in headless environments. Your automation pipeline stays green.

Headless Resource Management for Claude Code

Running an autonomous CLI agent in CI/CD pipelines requires strict resource boundaries to prevent runaway API bills. This MCP gives your terminal agent the telemetry it needs to monitor its own input size. You set hard budget limits and let the agent inspect its prompt size before making expensive calls. This keeps your automated processes predictable and cost-effective.

Sandbox Isolation for CLI Agents

Security is critical when piping sensitive terminal output through an external MCP. Vinkius runs this token counting tool inside a secure V8 isolate sandbox with strict security rules. Credentials pass through a zero-trust proxy and are never written to disk. Your command-line workflows remain secure, fast, and fully audited.

Setup guide

Set up AI Token Counter MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see ai-token-counter-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest AI Token Counter transactions." It will automatically discover and invoke the available AI Token Counter tools.

Terminal

claude mcp add --transport http ai-token-counter-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the AI Token Counter MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GPT Tokenizer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AI Token Counter MCP in Claude Code

Run the command `claude mcp add --transport http ai-token-counter -- ` where the URL is your Vinkius endpoint. Make sure to put your transport flags before the MCP name. Use `claude mcp list` to verify the connection.

Yes, this tool is designed for terminal environments and automated scripts. It runs via standard HTTP or SSE transports, making it easy to integrate into Docker containers, GitHub Actions, or SSH sessions. Your agent checks context sizes programmatically.

Waiting for an API truncation error wastes time, network bandwidth, and computing resources. This tool lets Claude Code perform pre-flight checks, allowing your agent to proactively truncate or split payloads before a failure occurs.

The tokenization logic runs on the Vinkius platform, which requires a connection to your Vinkius endpoint. However, the calculation is done instantly in a high-performance V8 sandbox, avoiding the latency of calling standard LLM APIs.

Vinkius enforces a zero-trust policy where your raw terminal output and text strings are processed in memory and never saved to disk. All operations are sandboxed and protected by 34 security rules. Each transaction produces a cryptographically signed audit trail for your security compliance.

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