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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use CloudFront Cache Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate AWS CloudFront cache hit ratios, origin load reduction, and TTL optimization.

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 CloudFront Cache Analyzer capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through CloudFront Cache Analyzer.

  1. 01

    Analyze path patterns

    Answers how cache behavior differs across different URL paths

  2. 02

    Get ttl optimization advice

    Answers what adjustments should be made to the TTL to improve cache performance

  3. 03

    Calculate cache metrics

    Answers how efficient the current cache configuration is in terms of hit ratio, origin load, and data transfer

  4. 04

    Calculate stale windows

    Answers what supplementary caching headers should be used to improve availability and latency during revalidation

Observed, not estimated

819ms average. Fast in production.

CloudFront Cache Analyzer is checked daily against the live service.

Daily averagePeak 944ms
Aug 20Today
Fastest day
686ms
Slowest day
944ms
14-day trend
Improving-20%

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 CloudFront Cache Analyzer, so you can see the experience inside your AI.

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

CloudFront Cache Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_pY3JBkhofLj9ZJ2P3hKHE0aLobhTrObLRMqTEYMH/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 — CloudFront Cache Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cloudfront-cache-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pY3JBkhofLj9ZJ2P3hKHE0aLobhTrObLRMqTEYMH/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

FAQ

Questions CloudFront Cache Analyzer owners ask.

  • 01

    How can I reduce the load on my origin server?

    You can use calculate_cache_metrics to see how much load is being reduced. Increasing your TTL via get_ttl_optimization_advice can also help increase the cache hit ratio and further reduce origin requests.

  • 02

    What is the best way to handle stale content?

    Use calculate_stale_windows to determine the appropriate durations for stale-while-revalidate and stale-if-error headers to improve availability.

  • 03

    Can I analyze multiple paths at once?

    Yes, the analyze_path_patterns capability allows you to evaluate the caching health across multiple defined path patterns in a single report.

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