What can this MCP calculate for AWS Kinesis?

It calculates minimum shard counts for ingestion and consumption, total storage footprints based on retention, and the number of scaling operations like splits or merges.

How does this MCP help with scaling?

It uses the scaling operations capability to tell you exactly how many shard splits or merges are required to reach your desired shard count.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

Does this MCP handle Enhanced Fan-Out?

Yes, it includes a capability to identify available Enhanced Fan-Out (EFO) consumer capacity.

Is the math deterministic?

Yes, the MCP provides deterministic calculations for shard requirements and storage needs.

How do I calculate the number of shards needed for my data?

You can use the calculate_shard_requirements capability. Provide your ingestion rate in KB/s, records per second, and your consumer profile to get the total shard count.

Can I estimate my AWS storage costs with this capability?

While it doesn't provide direct dollar amounts, the calculate_storage_and_efo capability provides the total storage in GB, which you can use to estimate your AWS costs.

How do I scale my Kinesis stream up or down?

Use the calculate_scaling_operations capability. Input your current shard count and your target shard count to see how many splits or merges are required.

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Connect Kinesis Shard Calculator to ChatGPT and Claude

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. Get precise shard counts and storage estimates for your AWS streams.

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 Kinesis.

01
Calculate scaling operations
This capability determines the specific shard management actions needed to reach a target state. It tells you exactly how many splits or merges to perform.
02
Calculate shard requirements
This capability finds the minimum shard count required to satisfy both your ingestion and consumption demands. It ensures you have enough throughput for all producers and consumers.
03
Calculate storage and efo
This capability calculates your physical storage footprint and identifies available Enhanced Fan-Out capacity. Use it to plan for retention periods and consumer throughput.

Real work

What teams actually run

Scaling Up for Traffic Spikes

When your ingestion rate increases, use the MCP to find the new minimum shard count needed to prevent throttling.

Cost Optimization

Calculate the exact storage footprint for your retention period to avoid paying for unneeded capacity.

Capacity Planning

Determine how many Enhanced Fan-Out slots you can use for your consumers.

Infrastructure Automation

Use the scaling operations capability to plan the exact number of splits needed to reach a target state.

One connector, every AI

AWS Kinesis 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 Kinesis 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

824ms average. Fast in production.

AWS Kinesis is checked daily against the live service.

Daily averagePeak 1048ms

Oct 3Today

Fastest day: 602ms
Slowest day: 1048ms
14-day trend: Stable0%

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 Kinesis, so you can see the experience inside your AI.

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

AWS Kinesis Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_7G2opOd95jScAmy5ULE64riFrlwh0GkwTlUCYL6G/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 Kinesis capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "kinesis-shard-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7G2opOd95jScAmy5ULE64riFrlwh0GkwTlUCYL6G/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 Kinesis in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AWS Kinesis owners hand off.

This MCP is built for engineers managing high-throughput data pipelines on AWS.

01
Data Engineers
They use the MCP to calculate throughput requirements for streaming pipelines.
02
Cloud Architects
They use it to estimate storage costs and plan scaling strategies.
03
DevOps Engineers
They use the scaling capabilities to automate or plan shard management tasks.

FAQ

Questions AWS Kinesis owners ask.

01
What can this MCP calculate for AWS Kinesis?
It calculates minimum shard counts for ingestion and consumption, total storage footprints based on retention, and the number of scaling operations like splits or merges.
02
How does this MCP help with scaling?
It uses the scaling operations capability to tell you exactly how many shard splits or merges are required to reach your desired shard count.
03
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
04
Does this MCP handle Enhanced Fan-Out?
Yes, it includes a capability to identify available Enhanced Fan-Out (EFO) consumer capacity.
05
Is the math deterministic?
Yes, the MCP provides deterministic calculations for shard requirements and storage needs.
06
How do I calculate the number of shards needed for my data?
You can use the calculate_shard_requirements capability. Provide your ingestion rate in KB/s, records per second, and your consumer profile to get the total shard count.
07
Can I estimate my AWS storage costs with this capability?
While it doesn't provide direct dollar amounts, the calculate_storage_and_efo capability provides the total storage in GB, which you can use to estimate your AWS costs.
08
How do I scale my Kinesis stream up or down?
Use the calculate_scaling_operations capability. Input your current shard count and your target shard count to see how many splits or merges are required.

Explore

More in Cloud Infrastructure

Connect AWS Kinesis 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 scaling operations

Calculate shard requirements

Calculate storage and efo

What teams actually run

Scaling Up for Traffic Spikes

Cost Optimization

Capacity Planning

Infrastructure Automation

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

AWS Kinesis Connector

Claude Desktop

Data Engineers

Cloud Architects

DevOps Engineers

What can this MCP calculate for AWS Kinesis?

How does this MCP help with scaling?

Can I use this with Claude or Cursor?

Does this MCP handle Enhanced Fan-Out?

Is the math deterministic?

How do I calculate the number of shards needed for my data?

Can I estimate my AWS storage costs with this capability?

How do I scale my Kinesis stream up or down?

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