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Connect Voice AI Economics Calculator to ChatGPT and Claude

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. Model the costs and infrastructure of voice interfaces.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Voice Economics Engine.

  1. 01

    Assess infrastructure needs

    This capability estimates the computing and network resources you'll need based on your target scale and speed requirements.

  2. 02

    Evaluate ux value

    This capability calculates a qualitative value score by looking at the technical performance of your voice interface.

  3. 03

    Get interaction unit cost

    This capability determines the direct financial cost of a single voice interaction.

  4. 04

    Get language cost multiplier

    This capability adjusts base costs to account for the specific complexity and availability of different languages.

Real work

What teams actually run

01

Budget Forecasting

Predict monthly operational expenses for a new voice assistant based on projected user volume.

02

Capacity Planning

Determine if your current network setup can handle a specific number of concurrent voice streams.

03

UX Benchmarking

Compare how different latency targets change the perceived quality of the voice interface.

04

Global Expansion

Adjust cost models when moving from English to more phonetically complex languages.

One connector, every AI

Voice Economics Engine 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 Voice Economics Engine 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

900ms average. Fast in production.

Voice Economics Engine is checked daily against the live service.

Daily averagePeak 1101ms
Oct 3Today
Fastest day
608ms
Slowest day
1101ms
14-day trend
Improving-10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Voice Economics Engine, so you can see the experience inside your AI.

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

Voice Economics Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Xl3vx56NB185F1BW5n4Dbsd3LLha1m9pA2FnY05d/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 — Voice Economics Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "voice-ai-economics-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Xl3vx56NB185F1BW5n4Dbsd3LLha1m9pA2FnY05d/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 Voice Economics Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Voice Economics Engine owners hand off.

This MCP is built for technical teams designing voice-first AI products who need to move from intuition to data-driven planning.

  • 01

    AI Product Managers

    They use it to build budget models and justify feature rollouts.

  • 02

    Solutions Architects

    They use it to spec out the necessary network and compute resources.

  • 03

    Voice Engineers

    They use it to measure how latency and accuracy impact the final product value.

FAQ

Questions Voice Economics Engine owners ask.

  • 01

    How does this MCP calculate voice costs?

    It uses the get_interaction_unit_cost capability to determine the direct financial cost of a single voice turn.

  • 02

    Can I estimate hardware needs for high-traffic apps?

    Yes, the assess_infrastructure_needs capability estimates computing and network requirements based on your scale and speed targets.

  • 03

    Does language complexity affect the cost estimates?

    Yes, the get_language_cost_multiplier capability adjusts base costs based on phonetic complexity and provider availability.

  • 04

    How is user experience measured?

    The evaluate_ux_value capability calculates a qualitative score based on technical performance metrics.

  • 05

    Which AI clients can use this MCP?

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

  • 06

    How is the cost of a voice interaction calculated?

    The cost is determined by the get_interaction_unit_cost capability, which sums the Speech-to-Text (STT) cost based on duration and the Text-to-Speech (TTS) cost based on response length.

  • 07

    Can I estimate infrastructure requirements for high-concurrency scenarios?

    Yes, use the assess_infrastructure_needs capability to estimate compute units and network priority based on your target concurrent streams and latency requirements.

  • 08

    Does language complexity affect the cost?

    Yes, the get_language_cost_multiplier capability provides a multiplier to adjust base costs for languages that are more phonetically complex or have lower provider availability.

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