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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Edge Latency Simulator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Estimates network latency for edge-computing deployment scenarios using geographic distance heuristics.

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 · 3 capabilities

The complete Edge Latency Simulator capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Edge Latency Simulator.

  1. 01

    Estimate point to point latency

    Calculates the estimated network delay between a specific client and a server node

  2. 02

    Calculate weighted average latency

    Determines the effective latency for a network population based on cache performance

  3. 03

    Compare origin vs edge latency

    Evaluates how much latency is saved by using an Edge node compared to an Origin server for a specific group of users

Observed, not estimated

644ms average. Fast in production.

Edge Latency Simulator is checked daily against the live service.

Daily averagePeak 807ms
Aug 20Today
Fastest day
517ms
Slowest day
807ms
14-day trend
Slowing+16%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Edge Latency Simulator, so you can see the experience inside your AI.

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

Edge Latency Simulator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_2JnPi7v8D09eUMidXSs7hn9OqNrV78e7bsMjtyZg/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 — Edge Latency Simulator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "edge-latency-simulator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2JnPi7v8D09eUMidXSs7hn9OqNrV78e7bsMjtyZg/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 Edge Latency Simulator owners ask.

  • 01

    How does the simulator calculate latency?

    It uses a heuristic model where delay is a fixed base latency plus a variable component that increases linearly with the physical distance between the client and the node.

  • 02

    Can I compare different edge node locations?

    Yes, by using the compare_origin_vs_edge_latency capability, you can evaluate how much latency is saved when switching from an origin server to a specific edge node location.

  • 03

    Does it account for cache performance?

    Yes, the calculate_weighted_average_latency capability allows you to determine effective latency by providing a cache hit ratio.

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