ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Human Feedback Cost with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate RLHF and RLAIF cost structures, quality impact, and automation potential.

Included with plan

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

Complete set · 4 capabilities

The complete AI Human Feedback Cost capability set.

These are the exact actions your AI can choose when you ask it to work with AI Human Feedback Cost.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Human Feedback Cost.

  1. 01

    Quality impact

    Calculates how quality requirements and auditing increase the total budgetary requirement

  2. 02

    Resource planning

    Determines the required human workforce size based on time constraints

  3. 03

    Rlhf cost

    Determines the baseline total cost for a human-only feedback loop

  4. 04

    Automation potential

    Estimates the cost savings if a portion of the human feedback is replaced by AI feedback (RLAIF)

One connector, every AI

AI Human Feedback Cost 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.

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

You don't need a client to put AI Human Feedback Cost 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

1074ms average. Fast in production.

AI Human Feedback Cost is checked daily against the live service.

Daily averagePeak 1091ms
Sep 5Today
Fastest day
1026ms
Slowest day
1091ms
14-day trend
Improving-6%

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 AI Human Feedback Cost, so you can see the experience inside your AI.

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

AI Human Feedback Cost Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_LHTOHX0C8nwT6iRQp6DMUS0LrtSDILSuDHzWIuRJ/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 — AI Human Feedback Cost capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-human-feedback-cost-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LHTOHX0C8nwT6iRQp6DMUS0LrtSDILSuDHzWIuRJ/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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions AI Human Feedback Cost owners ask.

  • 01

    How do I calculate the total cost of my human annotation project?

    You can use the rlhf_cost capability. Provide the total annotation volume, the base cost per annotation, and a complexity multiplier to get the total cost and effective cost per unit.

  • 02

    Can I estimate how much I will save by using AI feedback instead of humans?

    Yes, the automation_potential capability allows you to estimate savings by specifying the automation ratio and the cost ratio of AI feedback compared to human feedback.

  • 03

    How does quality control affect my budget?

    The quality_impact capability calculates the quality-adjusted cost. It accounts for the extra budget needed for auditing and the waste factor caused by rejected samples to meet your target accuracy.