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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use RAG Economics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate and optimize the total cost of ownership for RAG infrastructures.

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 RAG Economics capability set.

These are the exact actions your AI can choose when you ask it to work with RAG Economics.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through RAG Economics.

  1. 01

    Analyze latency impact

    Calculates the additional cost required to meet a specific latency target

  2. 02

    Calculate query economics

    Calculates the total cost and cost breakdown for a single user query

  3. 03

    Get optimization priorities

    Identifies the primary and secondary drivers for cost optimization

  4. 04

    Optimize chunking strategy

    Finds the ideal chunk size to balance retrieval accuracy against LLM token costs

One connector, every AI

RAG Economics 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 RAG Economics 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

960ms average. Fast in production.

RAG Economics is checked daily against the live service.

Daily averagePeak 960ms
Sep 5Today
Fastest day
952ms
Slowest day
960ms
14-day trend
Stable+1%

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 RAG Economics, so you can see the experience inside your AI.

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

RAG Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_bW0DihmAVuNSYlddUrnmK4QjLjMyKslDRonEcVzO/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 — RAG Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rag-economics-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bW0DihmAVuNSYlddUrnmK4QjLjMyKslDRonEcVzO/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 RAG Economics owners ask.

  • 01

    How does this capability help reduce RAG costs?

    It identifies the primary cost drivers in your pipeline and suggests optimizations like adjusting chunk sizes or selecting more efficient retrieval strategies using get_optimization_priorities.

  • 02

    Can I model the cost of meeting specific latency SLAs?

    Yes, the analyze_latency_impact capability calculates the estimated cost increase required to move from your current latency to a faster target latency.

  • 03

    What metrics are included in the cost breakdown?

    The calculate_query_economics capability provides a detailed breakdown including embedding costs, retrieval costs, and LLM inference costs.

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