MCP For Claude Marketplace
Edge Latency Simulator

Edge Latency Simulator MCP Connector for Claude

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Estimates network latency for edge-computing deployment scenarios using geographic distance heuristics.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The Edge Latency Simulator provides a way to model and predict network delays in distributed environments. It uses a distance-to-latency heuristic model to calculate point-to-point delay between coordinates, compares the performance benefits of using an edge node versus an origin server for specific user groups, and calculates weighted average latency based on cache hit/miss ratios. This allows engineers to evaluate the impact of edge computing deployments on user experience.

latencyedgenetworkcdnsimulationinfrastructure

3 tools expose this connector's capabilities to your AI agent.

estimate_point_to_point_latency

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

calculate_weighted_average_latency

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

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

See how to talk to your AI agent using Edge Latency Simulator.

What is the estimated latency between a client at (40.7128, -74.0060) and a server at (34.0522, -118.2437)?

The estimated latency is 42.5 ms with a calculated distance of 3935.74 km.

Compare the latency for users in New York, London, and Tokyo when using an origin server in Virginia vs an edge node in Frankfurt.

The average origin latency is 145.2 ms, while the average edge latency is 88.4 ms, resulting in a latency reduction of approximately 39.1%.

If my edge latency is 20ms and origin latency is 150ms with a 90% cache hit ratio, what is the effective latency?

The effective latency for your network population is 33.0 ms.

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.

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