WebSocket Capacity Planner

WebSocket Capacity Planner MCP Connector for Claude

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Estimate WebSocket connection limits, server fleet requirements, and network overhead.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a specialized engine for planning WebSocket infrastructure. It allows AI agents to calculate the maximum concurrent connections based on memory constraints using estimate_max_connections, determine necessary fleet size with calculate_required_servers, estimate network egress load via estimate_broadcast_load, and quantify heartbeat bandwidth overhead with calculate_bandwidth_overhead.

websocketscalingdevopsnetwork-engineeringperformance

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

calculate_bandwidth_overhead

Estimates the bandwidth consumed strictly by heartbeat (ping/pong) traffic

calculate_required_servers

Determines the fleet size needed to support a globalThis target of connections

estimate_broadcast_load

Calculates the network egress load generated by message broadcasting across channels

estimate_max_connections

Calculates the maximum number of concurrent connections a single node can host based on memory constraints

See how to talk to your AI agent using WebSocket Capacity Planner.

How many connections can I host on a server with 16GB RAM if each connection uses 50KB?

With 16,384,000 KB of available memory and a 0.05 MB footprint per connection, you can host approximately 327,680 concurrent connections.

If I have a target of 1 million users and each server handles 100k, how many servers do I need?

You will need 10 server instances to support a target of 1,000,000 total connections.

What is the broadcast load if I have 100 messages/sec and 500 subscribers per channel?

The total egress load will be 50,000 messages per second, with a fan-out multiplier of 500x.

Use the `estimate_max_connections` tool by providing your available RAM and the estimated memory footprint per connection.

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