Use Message Queue Throughput Calculator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Plan capacity for Kafka, RabbitMQ, or SQS by calculating consumer needs, backlog drain time, and concurrency.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Message Queue Throughput Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Message Queue Throughput Calculator.
01-04
4 capabilities in this set.
Part of 4 available through Message Queue Throughput Calculator.
- 01
Validate system capacity
Checks if the current number of active consumers can actually handle the incoming workload
- 02
Calculate consumer needs
Determines how many consumers or partitions are required to satisfy a specific throughput target
- 03
Calculate inflight concurrency
Calculates the average number of messages being processed simultaneously (in-flight) using Little's Law
- 04
Estimate backlog drain
Predicts how long it will take to clear the current queue backlog
Observed, not estimated
654ms average. Fast in production.
Message Queue Throughput Calculator is checked daily against the live service.
- Fastest day
- 499ms
- Slowest day
- 770ms
- 14-day trend
- Slowing+10%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Message Queue Throughput Calculator, so you can see the experience inside your AI.
It does not authenticate your account with Message Queue Throughput Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Message Queue Throughput Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_tzILUMNun7O4iMnJfIL6kfEO2dHvg2p3Ebw8tf6i/mcpClaude 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 — Message Queue Throughput Calculator capabilities are ready to use.
{
"mcpServers": {
"message-queue-throughput-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_tzILUMNun7O4iMnJfIL6kfEO2dHvg2p3Ebw8tf6i/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 Message Queue Throughput Calculator owners ask.
- 01
How do I know if my Kafka cluster needs more partitions?
You can use the calculate_consumer_needs capability. By providing your target messages per second and average processing time, it will tell you exactly how many consumers or partitions are required.
- 02
Can I use this to estimate when a RabbitMQ backlog will be cleared?
Yes. Use the estimate_backlog_drain capability by inputting your current lag count and your current processing throughput to get an estimated drain time in seconds and minutes.
- 03
What is Little's Law in the context of this capability?
The calculate_inflight_concurrency capability uses Little's Law to determine the average number of messages being processed simultaneously based on your arrival rate and processing latency.
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