Does this MCP handle concurrency limits?

Yes, the calculate_scaling_plan capability specifically identifies if your workload pushes beyond recommended concurrency limits. This helps you adjust your plan before deployment.

What kind of inputs does the resource configuration capability need?

The calculate_resource_configuration capability requires you to specify both the desired vCPU count and the memory size you plan to use. It then checks those two values against AWS App Runner's rules.

Is this for App Runner only?

This MCP is specialized for planning AWS App Runner deployments. It provides capabilities specific to App Runner's scaling and resource model.

What if I don't know the default settings?

You can use the generate_service_defaults capability. Just provide your capacity requirements, and it will return a full set of operational parameters, like warm-up times and health check intervals.

How do I know if my vCPU and memory selection is valid?

You can use the calculate_resource_configuration capability to check if your requested vCPU and memory combination adheres to AWS App Runner's specific resource tiers.

Can I scale my App Runner service to zero?

Yes, by using calculate_scaling_plan and setting the minimum instances to 0, you can plan for a scale-to-zero configuration.

What are the recommended concurrency limits?

While there is no hard limit, it is recommended to keep concurrency per instance at or below 100 requests to maintain optimal performance.

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Connect AWS App Runner Scaling Calculator to your AI

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. Validate your deployment strategy before you launch.

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 AWS App Runner Scaling Calculator.

01
Calculate resource configuration
Determines if a specific vCPU and Memory request is valid within AWS App Runner tier constraints
02
Calculate scaling plan
Calculates the required number of instances and identifies if the workload is pushing beyond recommended concurrency limits
03
Generate service defaults
Provides a complete set of operational parameters based on provided capacity requirements

Real work

What teams actually run

Launching a new microservice

You're deploying a brand new service and need to know the minimum viable resources. You run the resource configuration capability to validate the initial vCPU/memory pairing.

Handling traffic spikes

You anticipate a major marketing push and need to size your service for peak load. You use the scaling plan capability to determine the maximum necessary instance count.

Updating service parameters

You are changing the container image size and need to adjust operational settings. You use the service defaults capability to get updated health check and storage requirements.

Cost optimization

You want to ensure you aren't paying for excess capacity. You use the scaling plan capability to find the most efficient instance count for your average load.

One connector, every AI

AWS App Runner Scaling Calculator 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 AWS App Runner Scaling Calculator 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

895ms average. Fast in production.

AWS App Runner Scaling Calculator is checked daily against the live service.

Daily averagePeak 1067ms

Oct 3Today

Fastest day: 628ms
Slowest day: 1067ms
14-day trend: Slowing+5%

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 AWS App Runner Scaling Calculator, so you can see the experience inside your AI.

It does not authenticate your account with AWS App Runner Scaling Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AWS App Runner Scaling Calculator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Yp4QYFp1QR8Lmy1YH3zjpOBJCWTSNAjUHDrJlY33/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 — AWS App Runner Scaling Calculator capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "aws-app-runner-scaling-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Yp4QYFp1QR8Lmy1YH3zjpOBJCWTSNAjUHDrJlY33/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 AWS App Runner Scaling Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AWS App Runner Scaling Calculator owners hand off.

This MCP is built for cloud engineers and DevOps specialists who manage infrastructure deployments. If you're responsible for moving a microservice to App Runner, this capability lets you validate your plan before deployment. It gives you the hard numbers you need to ensure stability and proper scaling.

01
DevOps Engineer
Use it to validate resource constraints and calculate scaling plans for production environments.
02
Cloud Architect
Use it to model and test App Runner deployments against AWS service limits.
03
Backend Developer
Use it to get accurate service default settings, ensuring your application runs with the right operational parameters.

FAQ

Questions AWS App Runner Scaling Calculator owners ask.

01
Does this MCP handle concurrency limits?
Yes, the calculate_scaling_plan capability specifically identifies if your workload pushes beyond recommended concurrency limits. This helps you adjust your plan before deployment.
02
What kind of inputs does the resource configuration capability need?
The calculate_resource_configuration capability requires you to specify both the desired vCPU count and the memory size you plan to use. It then checks those two values against AWS App Runner's rules.
03
Is this for App Runner only?
This MCP is specialized for planning AWS App Runner deployments. It provides capabilities specific to App Runner's scaling and resource model.
04
What if I don't know the default settings?
You can use the generate_service_defaults capability. Just provide your capacity requirements, and it will return a full set of operational parameters, like warm-up times and health check intervals.
05
How do I know if my vCPU and memory selection is valid?
You can use the calculate_resource_configuration capability to check if your requested vCPU and memory combination adheres to AWS App Runner's specific resource tiers.
06
Can I scale my App Runner service to zero?
Yes, by using calculate_scaling_plan and setting the minimum instances to 0, you can plan for a scale-to-zero configuration.
07
What are the recommended concurrency limits?
While there is no hard limit, it is recommended to keep concurrency per instance at or below 100 requests to maintain optimal performance.

Explore

More in Cloud Infrastructure

Connect AWS App Runner Scaling Calculator 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

Calculate resource configuration

Calculate scaling plan

Generate service defaults

What teams actually run

Launching a new microservice

Handling traffic spikes

Updating service parameters

Cost optimization

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

AWS App Runner Scaling Calculator Connector

Claude Desktop

DevOps Engineer

Cloud Architect

Backend Developer

Does this MCP handle concurrency limits?

What kind of inputs does the resource configuration capability need?

Is this for App Runner only?

What if I don't know the default settings?

How do I know if my vCPU and memory selection is valid?

Can I scale my App Runner service to zero?

What are the recommended concurrency limits?

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