Does this MCP handle very large device numbers?

Yes. It is designed for large-scale deployments, allowing you to input millions of devices to check against established AWS limits. It provides deterministic calculations for massive fleets.

What kind of limits can I check?

You can check messaging throughput, payload size constraints, device count, and specific resource limits like certificates and policies.

Is this just a checklist, or does it calculate anything?

It's much more than a checklist. It performs actual calculations, validating your design against hard AWS limits and providing a quantifiable report on your account's adherence.

Can I use this if I'm not sure if my design is compliant?

Absolutely. You can run the connectivity summary capability to get a high-level report that immediately tells you where your setup exceeds recommended best practices.

How do I check if my message size is valid?

You can use the calculate_messaging_load capability. It will validate if your message size is within the 128 KB hard limit.

Can I calculate resource limits for my IoT account?

Yes, the calculate_resource_limits capability calculates recommended certificates, policies, rules, and jobs based on your device count.

What is the maximum recommended messaging throughput?

AWS recommends staying within 100,000 messages per second per account to ensure stability.

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Connect Aws Iot Core Device Limits 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 entire device fleet architecture against hard limits.

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 IoT Core.

01
Calculate connectivity summary
Provides a high-level summary of the account's adherence to AWS IoT best practices
02
Calculate messaging load
Calculates the total messaging throughput and validates against message size constraints
03
Calculate resource limits
Calculates the capacity and distribution of security and management resources

Real work

What teams actually run

Smart City Deployment

You need to connect thousands of sensors across a city. The MCP calculates the required messaging load and total device capacity.

Industrial Monitoring

A factory floor requires monitoring thousands of assets simultaneously. Use this MCP to plan the necessary security resources and rule limits.

Fleet Telemetry System

You're managing a large fleet of vehicles sending constant data streams. The MCP validates the messaging throughput against hard limits.

Large-Scale Proof of Concept

Before going live, you run a simulation to check connectivity summary, ensuring your current setup won't hit a bottleneck.

One connector, every AI

AWS IoT Core 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 IoT Core 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

843ms average. Fast in production.

AWS IoT Core is checked daily against the live service.

Daily averagePeak 1035ms

Oct 3Today

Fastest day: 637ms
Slowest day: 1035ms
14-day trend: Stable-4%

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 IoT Core, so you can see the experience inside your AI.

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

AWS IoT Core Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_HQTQGjegdjHbsCLiSgvmtcMvsnuBc8mKd8WbjSqD/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 IoT Core capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "aws-iot-core-device-limits-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_HQTQGjegdjHbsCLiSgvmtcMvsnuBc8mKd8WbjSqD/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 IoT Core in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AWS IoT Core owners hand off.

This MCP is built for cloud architects and infrastructure engineers. If you're designing a large-scale, mission-critical IoT network, you need to validate your design against real-world AWS limits. Your AI client handles the complex math so you can focus on the architecture.

01
Cloud Architect
Determines if the proposed device count and messaging patterns will exceed AWS hard limits.
02
IoT Engineer
Validates the messaging load and payload sizes to ensure stable, high-volume data transfer.
03
DevOps Specialist
Plans the necessary security and management resources, like certificates and policies, for a massive deployment.

FAQ

Questions AWS IoT Core owners ask.

01
Does this MCP handle very large device numbers?
Yes. It is designed for large-scale deployments, allowing you to input millions of devices to check against established AWS limits. It provides deterministic calculations for massive fleets.
02
What kind of limits can I check?
You can check messaging throughput, payload size constraints, device count, and specific resource limits like certificates and policies.
03
Is this just a checklist, or does it calculate anything?
It's much more than a checklist. It performs actual calculations, validating your design against hard AWS limits and providing a quantifiable report on your account's adherence.
04
Can I use this if I'm not sure if my design is compliant?
Absolutely. You can run the connectivity summary capability to get a high-level report that immediately tells you where your setup exceeds recommended best practices.
05
How do I check if my message size is valid?
You can use the calculate_messaging_load capability. It will validate if your message size is within the 128 KB hard limit.
06
Can I calculate resource limits for my IoT account?
Yes, the calculate_resource_limits capability calculates recommended certificates, policies, rules, and jobs based on your device count.
07
What is the maximum recommended messaging throughput?
AWS recommends staying within 100,000 messages per second per account to ensure stability.

Explore

More in Infrastructure

Connect AWS IoT Core 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 connectivity summary

Calculate messaging load

Calculate resource limits

What teams actually run

Smart City Deployment

Industrial Monitoring

Fleet Telemetry System

Large-Scale Proof of Concept

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

AWS IoT Core Connector

Claude Desktop

Cloud Architect

IoT Engineer

DevOps Specialist

Does this MCP handle very large device numbers?

What kind of limits can I check?

Is this just a checklist, or does it calculate anything?

Can I use this if I'm not sure if my design is compliant?

How do I check if my message size is valid?

Can I calculate resource limits for my IoT account?

What is the maximum recommended messaging throughput?

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