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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Latency Budget Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Determine if performance gains justify the engineering cost.

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 Latency Budget Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Latency Budget Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Latency Budget Engine.

  1. 01

    Validate latency budget

    Checks if the current latency performance adheres to a defined business service level agreement (SLA)

  2. 02

    Calculate optimization roi

    Determines if a proposed set of optimizations is worth the investment by comparing cost against UX value and latency gains

  3. 03

    Estimate technique impact

    Provides a detailed breakdown of how a single optimization technique will affect specific latency metrics

  4. 04

    Get optimization recommendations

    Suggests the most efficient sequence of optimizations to reach a target latency

Observed, not estimated

818ms average. Fast in production.

Latency Budget Engine is checked daily against the live service.

Daily averagePeak 895ms
Aug 31Today
Fastest day
793ms
Slowest day
895ms
14-day trend
Slowing+13%

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 Latency Budget Engine, so you can see the experience inside your AI.

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

Latency Budget Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_R0VfeIgR7LooQE3g6WkwATV8f8hRIJQi9gmu4ROe/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 — Latency Budget Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-inference-latency-budget-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_R0VfeIgR7LooQE3g6WkwATV8f8hRIJQi9gmu4ROe/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 Latency Budget Engine owners hand off.

This MCP is essential for ML Engineers, Product Managers, and DevOps teams responsible for AI infrastructure. If your product's performance depends on low latency, this capability gives you the data to make critical decisions about spending time and money.

  • 01

    ML Engineer

    Use it to test optimization techniques and model improvements before deploying code.

  • 02

    Product Manager

    Use it to justify performance budgets to stakeholders by quantifying the user experience benefit.

  • 03

    DevOps Engineer

    Use it to validate that performance changes meet strict operational Service Level Agreements (SLAs).

FAQ

Questions Latency Budget Engine owners ask.

  • 01

    Does this MCP tell me if my current latency meets my SLA?

    Yes. You use the validate_latency_budget capability. It checks your current performance against a defined business Service Level Agreement (SLA) and tells you if you're exceeding the limit.

  • 02

    How do I know if an optimization is worth the money?

    The calculate_optimization_roi capability handles this. It compares the cost of implementing a set of techniques against the resulting user experience value and latency gains.

  • 03

    What kind of data does this MCP need?

    It needs your current latency metrics, your target latency, and any associated engineering costs or budgets you want to factor into the analysis.

  • 04

    Can I find the best sequence of fixes?

    Absolutely. The get_optimization_recommendations capability suggests the most efficient path to reach your target latency, saving you from testing random fixes.

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