An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Token Cost Estimator to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop guessing your LLM spend and start optimizing it.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Token Cost Estimator.

  1. 01

    Get exact costs

    This capability provides a specific financial breakdown of a single request or set of tokens.

  2. 02

    Get comprehensive estimate

    Your agent uses this to perform a full end-to-end cost analysis, including optimization targets.

  3. 03

    Get usage metrics

    This capability calculates efficiency and scaling metrics to help you understand long-term trends.

Real work

What teams actually run

01

Prompt Engineering Audits

Check how much a new, longer system prompt will actually cost you before you deploy it.

02

Budget Forecasting

Use usage metrics to predict what your monthly bill will look like at higher traffic volumes.

03

Margin Protection

Calculate the exact cost per user interaction to ensure your pricing model stays profitable.

04

Optimization Debugging

Identify if high output token counts are driving up your expenses.

One connector, every AI

Token Cost Estimator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Token Cost Estimator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

880ms average. Fast in production.

Token Cost Estimator is checked daily against the live service.

Daily averagePeak 1005ms
Oct 3Today
Fastest day
662ms
Slowest day
1005ms
14-day trend
Stable-3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Token Cost Estimator, so you can see the experience inside your AI.

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

Token Cost Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_18WwlQ3hHVt6znNqBh8IYiq95Yuyr0fEg5y81Thv/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 — Token Cost Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "token-cost-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_18WwlQ3hHVt6znNqBh8IYiq95Yuyr0fEg5y81Thv/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

Guided setup for Claude? Set up Token Cost Estimator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Token Cost Estimator owners hand off.

This MCP is built for technical teams building LLM-powered applications who need to keep their margins predictable.

  • 01

    AI Engineers

    They use the capability to audit prompt efficiency and manage API budgets.

  • 02

    Product Managers

    They hand off cost analysis tasks to their agent to forecast product scaling costs.

  • 03

    DevOps Engineers

    They monitor usage metrics to ensure model expenditures stay within operational limits.

FAQ

Questions Token Cost Estimator owners ask.

  • 01

    How does this MCP help reduce LLM costs?

    It analyzes your usage to tell you if you should focus on reducing input prompt length or output response length to save money.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I use this to predict future spending?

    Yes, you can use the usage metrics capability to calculate efficiency and scaling metrics for your project.

  • 04

    Does this MCP handle different model pricing?

    Yes, you can provide specific input and output costs per 1k tokens to get exact financial breakdowns.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP so it is ready to use immediately after you connect.

  • 06

    How accurate are the cost calculations?

    The calculations are deterministic and exact based on the token counts and unit prices provided to the get_exact_costs capability.

  • 07

    What is an optimization target?

    An optimization target is a recommendation generated by get_usage_metrics. If input costs dominate, it suggests reducing input; otherwise, it suggests reducing output.

  • 08

    Which AI clients can use this capability?

    You can connect this via Vinkius Edge to Cursor, VS Code, Claude Desktop, Windsurf, and any MCP-compatible client.

Explore

More in Developer Tools

Suggestions

Connect Token Cost Estimator to Claude, Cursor, ChatGPT & more