Message Queue Throughput Calculator

Message Queue Throughput Calculator MCP Connector for Claude

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Plan capacity for Kafka, RabbitMQ, or SQS by calculating consumer needs, backlog drain time, and concurrency.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides essential mathematical utilities for distributed messaging system capacity planning. It allows you to determine the required number of consumers or partitions using calculate_consumer_needs, estimate how long it will take to clear a queue lag with estimate_backlog_drain, calculate necessary parallel activity via calculate_inflight_concurrency, and verify if your current setup is sufficient with validate_system_capacity. It is designed for engineers managing high-throughput systems like Kafka, RabbitMQ, or Amazon SQS.

kafkarabbitmqsqscapacity-planningthroughput

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

validate_system_capacity

Checks if the current number of active consumers can actually handle the incoming workload

calculate_consumer_needs

Determines how many consumers or partitions are required to satisfy a specific throughput target

calculate_inflight_concurrency

Calculates the average number of messages being processed simultaneously (in-flight) using Little's Law

estimate_backlog_drain

Predicts how long it will take to clear the current queue backlog

See how to talk to your AI agent using Message Queue Throughput Calculator.

I have a Kafka topic receiving 500 messages per second, and each message takes 200ms to process. How many consumers do I need?

To handle 500 msg/s with a 200ms processing time, you require at least 100 consumers.

Our SQS queue has 1,000,000 messages in lag, and we are processing at 5,000 messages per second. How long until the queue is empty?

The estimated drain time for your backlog is 200 seconds (approximately 3.33 minutes).

If my message arrival rate is 100 msg/s and the average latency is 0.5 seconds, what is the required concurrency?

The required concurrency count to maintain a steady state is 50 messages in-flight.

You can use the `calculate_consumer_needs` tool. By providing your target messages per second and average processing time, it will tell you exactly how many consumers or partitions are required.

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