How does this MCP calculate latency?

It uses a distance-to-latency heuristic model to estimate delays between specific geographic coordinates.

Can I simulate cache performance?

Yes, you can use the capability to calculate weighted average latency by providing cache hit and miss ratios.

What clients can I use with this MCP?

You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

Does this MCP require me to host anything?

No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

Can I compare different deployment strategies?

Yes, you can use the comparison capability to see the latency difference between using an origin server and an edge node for specific user groups.

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.

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.

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.

An astronaut overseeing a futuristic data hub

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Connect Edge Latency Simulator to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Predict how edge deployments impact your users' experience.

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.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Edge Latency Simulator.

01
Estimate point to point latency
This capability calculates the estimated network delay between a specific client and a node using geographic coordinates.
02
Calculate weighted average latency
This capability determines the effective latency for a specific network population by factoring in cache performance.
03
Compare origin vs edge latency
This capability evaluates the latency reduction gained by using an edge node instead of an origin server for a defined group of users.

Real work

What teams actually run

Edge Deployment Planning

Compare the latency benefits of adding an edge node in a specific region before you deploy hardware.

CDN Optimization

Calculate how much your effective latency improves when you increase your cache hit ratio.

User Experience Prediction

Estimate how users in different parts of the world will experience your application based on their coordinates.

Infrastructure Cost-Benefit Analysis

Quantify the latency reduction achieved by shifting traffic from an origin to the edge.

One connector, every AI

Edge Latency Simulator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Edge Latency Simulator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

744ms average. Fast in production.

Edge Latency Simulator is checked daily against the live service.

Daily averagePeak 934ms

Oct 3Today

Fastest day: 545ms
Slowest day: 934ms
14-day trend: Improving-6%

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.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
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

Guided setup for Claude? Set up Edge Latency Simulator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Edge Latency Simulator owners hand off.

This MCP is built for engineers designing distributed systems and content delivery networks.

01
Network Engineer
Uses the MCP to model latency impacts of new infrastructure placements.
02
DevOps Engineer
Hands off cache hit ratio data to the agent to calculate effective network performance.
03
Site Reliability Engineer
Uses the capability to predict how edge deployments will change user experience metrics.

FAQ

Questions Edge Latency Simulator owners ask.

01
How does this MCP calculate latency?
It uses a distance-to-latency heuristic model to estimate delays between specific geographic coordinates.
02
Can I simulate cache performance?
Yes, you can use the capability to calculate weighted average latency by providing cache hit and miss ratios.
03
What clients can I use with this MCP?
You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.
04
Does this MCP require me to host anything?
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.
05
Can I compare different deployment strategies?
Yes, you can use the comparison capability to see the latency difference between using an origin server and an edge node for specific user groups.
06
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.
07
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.
08
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.

Explore

More in Simulation

Connect Edge Latency Simulator to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Estimate point to point latency

Calculate weighted average latency

Compare origin vs edge latency

What teams actually run

Edge Deployment Planning

CDN Optimization

User Experience Prediction

Infrastructure Cost-Benefit Analysis

Building your own app? The connector is yours to use.

Edge Latency Simulator Connector

Claude Desktop

Network Engineer

DevOps Engineer

Site Reliability Engineer

How does this MCP calculate latency?

Can I simulate cache performance?

What clients can I use with this MCP?

Does this MCP require me to host anything?

Can I compare different deployment strategies?

How does the simulator calculate latency?

Can I compare different edge node locations?

Does it account for cache performance?

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