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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI App Observability Cost with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Turn technical monitoring needs into clear financial ROI.

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 App Observability Cost capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI App Observability Cost.

  1. 01

    Calculate monthly investment

    Determines the total projected monthly expenditure for an observability stack

  2. 02

    Compare cost vs value

    Provides a high-level summary comparing the cost of the observability capabilities against the financial value of the MTTR improvements

  3. 03

    Estimate mttr value

    Calculates the estimated financial savings resulting from improved incident response capabilities

  4. 04

    Identify coverage gaps

    Detects missing observability components that could lead to operational blind spots

Observed, not estimated

810ms average. Fast in production.

AI App Observability Cost is checked daily against the live service.

Daily averagePeak 898ms
Aug 28Today
Fastest day
776ms
Slowest day
898ms
14-day trend
Stable+2%

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 App Observability Cost, so you can see the experience inside your AI.

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

AI App Observability Cost Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_YlmOhKqr8ZyUZaoIUisdHuLuS9AAuBzF39jIGjEd/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 App Observability Cost capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-app-observability-cost-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YlmOhKqr8ZyUZaoIUisdHuLuS9AAuBzF39jIGjEd/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 App Observability Cost owners hand off.

This MCP is built for technical leaders and financial operations teams. If you're responsible for cloud spending, platform reliability, or proving the ROI of your engineering capabilities, this is for you. It translates complex telemetry data into clear financial decisions.

  • 01

    FinOps Engineer

    Use it to model cloud spending and justify observability investments to finance teams.

  • 02

    CTO / VP of Engineering

    Use it to prove the business value of improving platform reliability and reducing downtime.

  • 03

    Product Manager

    Use it to assess the risk associated with new features or services before they go live.

FAQ

Questions AI App Observability Cost owners ask.

  • 01

    Does this MCP calculate the cost of my AI models?

    No. This MCP focuses on the cost of observability itself, modeling expenditures based on log volume, complexity, and the value of improving incident response time.

  • 02

    What does MTTR stand for in this context?

    MTTR stands for Mean Time To Recovery. The MCP calculates the financial savings you achieve when your team can fix and recover from incidents faster.

  • 03

    Can I use this with my existing cloud provider's monitoring capabilities?

    Yes. You input your existing operational metrics, like log volume and current MTTR, to model the financial impact of your current setup and potential improvements.

  • 04

    Is this capability just for big companies?

    No. It works for any application where monitoring costs are a factor. It helps you prove the ROI, regardless of company size.

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