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Connect LLM API 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 overspending on your agentic workflows.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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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 LLM API Cost Estimator.

  1. 01

    Estimate single call

    Calculates the exact cost of one API request using token counts and the specific model type.

  2. 02

    Track session usage

    Updates the total cost for a specific workflow and checks that amount against your defined budget.

  3. 03

    Get pricing catalog

    Provides the current deterministic pricing rates for all supported models.

Real work

What teams actually run

01

Agentic Loop Testing

Monitor how much a recursive agent costs while you debug its logic.

02

Workflow Cost Planning

Estimate the total price of a complex multi-step task before running it.

03

Budget Enforcement

Set a limit for a session to ensure an agent stops once it hits a certain spend.

04

Model Comparison

Check pricing rates to decide which model is most cost-effective for a specific task.

One connector, every AI

LLM API 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 LLM API 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

868ms average. Fast in production.

LLM API Cost Estimator is checked daily against the live service.

Daily averagePeak 1132ms
Oct 3Today
Fastest day
647ms
Slowest day
1132ms
14-day trend
Improving-15%

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 LLM API Cost Estimator, so you can see the experience inside your AI.

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

LLM API Cost Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_WyNQzGSo4kvfmbTszGGJhAvERzOhZDaDu0mBSh5R/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 — LLM API Cost Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "llm-api-cost-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_WyNQzGSo4kvfmbTszGGJhAvERzOhZDaDu0mBSh5R/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 LLM API Cost Estimator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work LLM API Cost Estimator owners hand off.

This MCP is built for developers and engineers building autonomous agentic workflows that require strict cost control.

  • 01

    AI Engineers

    They use it to prevent runaway costs during agent testing and deployment.

  • 02

    LLM Developers

    They use it to estimate the feasibility of complex, multi-step prompts.

  • 03

    Product Managers

    They use it to understand the unit economics of new AI features.

FAQ

Questions LLM API Cost Estimator owners ask.

  • 01

    Which models are supported?

    The MCP supports major providers including OpenAI, Anthropic, and Google using a deterministic pricing matrix.

  • 02

    How does it prevent overspending?

    You can use the session tracking capability to monitor cumulative costs against a budget you define for that specific workflow.

  • 03

    Can I estimate costs before I run a prompt?

    Yes, you can use the single call estimation capability to find the cost of a request based on token counts.

  • 04

    Does this work with Claude or Cursor?

    Yes, this MCP works with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 05

    Is the pricing real-time?

    The MCP uses a deterministic pricing matrix to provide accurate rates for the supported models.

  • 06

    How do I calculate the cost of a single request?

    You can use the estimate_single_call capability by providing the model ID and the number of input and output tokens.

  • 07

    Can I track my total spending for a specific agent run?

    Yes, use track_session_usage with a unique session ID to maintain a running total of costs and monitor your remaining budget.

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