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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Memory Cost Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Optimize your LLM architecture budget instantly.

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 Memory Cost Analyzer capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Memory Cost Analyzer.

  1. 01

    Analyze optimization opportunities

    Analyze potential cost savings by changing memory strategies

  2. 02

    Calculate conversation runtime cost

    Calculate the runtime cost of a conversation based on length and memory strategy

  3. 03

    Calculate storage and retrieval overhead

    Calculate persistent storage and retrieval costs

  4. 04

    Simulate memory efficiency tradeoff

    Simulate the tradeoff between window size and cost

Observed, not estimated

851ms average. Fast in production.

AI Memory Cost Analyzer is checked daily against the live service.

Daily averagePeak 961ms
Aug 27Today
Fastest day
799ms
Slowest day
961ms
14-day trend
Improving-16%

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 Memory Cost Analyzer, so you can see the experience inside your AI.

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

AI Memory Cost Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_4MaqXgJc5713NJFvD3nfrG7ypHzOyFpIRGwcjqw6/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 Memory Cost Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-memory-cost-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4MaqXgJc5713NJFvD3nfrG7ypHzOyFpIRGwcjqw6/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

Who it's for

Built for the work AI Memory Cost Analyzer owners hand off.

This MCP is essential for engineers and architects building large-scale AI applications. If your product relies on conversation memory, you need to know the cost implications. It helps you move beyond guesswork and build financially sound systems.

  • 01

    AI Architect

    Designs the optimal memory architecture by modeling the financial trade-offs between context size and cost.

  • 02

    ML Engineer

    Calculates the precise runtime and storage overheads to ensure the application stays within budget.

  • 03

    FinOps Specialist

    Validates the economic viability of new features by running cost simulations against existing infrastructure.

FAQ

Questions AI Memory Cost Analyzer owners ask.

  • 01

    Is this for general AI cost tracking?

    No. This MCP focuses specifically on the economics of AI conversation memory. It helps you model the costs related to context window usage, storage, and retrieval overhead.

  • 02

    What kind of costs can I calculate?

    You can calculate three main types of costs: the runtime cost of the conversation, the cost of persistent storage, and the cost of retrieving that stored data.

  • 03

    Do I need to know my token pricing beforehand?

    Yes, the capabilities require you to input the token price and usage volume to generate an accurate cost estimate.

  • 04

    Can I use this to compare different memory methods?

    Absolutely. You can use the simulation capabilities to compare methods like full context versus summarization, showing you potential percentage savings.

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