Does this MCP handle both Redis and Memcached?

Yes, it provides modeling and sizing for both Redis and Memcached clusters. You just need to specify which engine you are working with in your prompt.

What is the 30% safety buffer?

The 30% safety buffer is automatically included in the node count calculation. This ensures your cluster has extra capacity to handle unexpected spikes in traffic or growth.

What kind of data do I need to provide?

You need to provide your dataset size (e.g., 500GB), the specific engine type, and details about your replica requirements.

Can I find out the Recovery Time Objective (RTO)?

Yes. By using the reliability capability, you can model the RTO, which estimates the time needed to restore your dataset from storage back into memory.

Is this just a calculator, or does it give performance data too?

It's more than a calculator. It also provides operational constraints, like connection limits and network throughput, which are critical for real-world deployment.

How is the node count calculated?

The engine calculates the number of nodes by dividing the dataset size by 70% of the node's physical memory to ensure a 30% safety buffer for OS overhead and fragmentation.

Does this support Redis High Availability?

Yes, by using calculate_cluster_topology with a replication factor, you can determine the total number of primary and replica nodes needed for a highly available Redis setup.

Can I check network limits?

Yes, the analyze_performance_limits capability provides the maximum network throughput and connection limits per node based on the selected hardware tier.

An astronaut overseeing a futuristic data hub

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Connect Aws Elasticache Cluster 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. Get deterministic sizing for Redis and Memcached deployments.

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 ElastiCache.

01
Analyze performance limits
Calculates the operational constraints such as connection limits and network throughput for the calculated cluster
02
Calculate cluster topology
Determines the total number of nodes required to host the dataset based on engine type and availability requirements
03
Evaluate reliability and eviction
Provides insights into data safety, snapshot timing, and how the system behaves under memory pressure

Real work

What teams actually run

Scaling a High-Traffic App

Before a major product launch, run the calculator to determine the exact node count needed for peak load capacity.

Migrating a Legacy Cache

Use it to compare the resource requirements of your old cache setup against modern ElastiCache standards.

Designing a New Microservice

When starting a new service, use this MCP to establish the correct cache layer sizing from day one.

Comparing Redis vs. Memcached

Run parallel analyses to understand the specific performance and reliability differences between the two engines.

One connector, every AI

AWS ElastiCache 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 ElastiCache 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

819ms average. Fast in production.

AWS ElastiCache is checked daily against the live service.

Daily averagePeak 931ms

Oct 8Today

Fastest day: 631ms
Slowest day: 931ms
14-day trend: Stable-1%

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

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

AWS ElastiCache Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/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 ElastiCache capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "aws-elasticache-cluster-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/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 ElastiCache in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AWS ElastiCache owners hand off.

This MCP is built for engineers and architects who can't afford guesswork when designing infrastructure. If your job involves making sure a high-traffic application doesn't crash because the cache ran out of memory or connections, you need this. It gives you the math, not marketing fluff.

01
Solutions Architect
Use it to validate cluster designs and prove the scalability of new services.
02
DevOps Engineer
Run it to predict resource needs and ensure deployment scripts provision the correct number of nodes.
03
Backend Developer
Use it to validate cache layer requirements before writing connection logic.

FAQ

Questions AWS ElastiCache owners ask.

01
Does this MCP handle both Redis and Memcached?
Yes, it provides modeling and sizing for both Redis and Memcached clusters. You just need to specify which engine you are working with in your prompt.
02
What is the 30% safety buffer?
The 30% safety buffer is automatically included in the node count calculation. This ensures your cluster has extra capacity to handle unexpected spikes in traffic or growth.
03
What kind of data do I need to provide?
You need to provide your dataset size (e.g., 500GB), the specific engine type, and details about your replica requirements.
04
Can I find out the Recovery Time Objective (RTO)?
Yes. By using the reliability capability, you can model the RTO, which estimates the time needed to restore your dataset from storage back into memory.
05
Is this just a calculator, or does it give performance data too?
It's more than a calculator. It also provides operational constraints, like connection limits and network throughput, which are critical for real-world deployment.
06
How is the node count calculated?
The engine calculates the number of nodes by dividing the dataset size by 70% of the node's physical memory to ensure a 30% safety buffer for OS overhead and fragmentation.
07
Does this support Redis High Availability?
Yes, by using calculate_cluster_topology with a replication factor, you can determine the total number of primary and replica nodes needed for a highly available Redis setup.
08
Can I check network limits?
Yes, the analyze_performance_limits capability provides the maximum network throughput and connection limits per node based on the selected hardware tier.

Explore

More in Infrastructure

Connect AWS ElastiCache 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

Analyze performance limits

Calculate cluster topology

Evaluate reliability and eviction

What teams actually run

Scaling a High-Traffic App

Migrating a Legacy Cache

Designing a New Microservice

Comparing Redis vs. Memcached

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

AWS ElastiCache Connector

Claude Desktop

Solutions Architect

DevOps Engineer

Backend Developer

Does this MCP handle both Redis and Memcached?

What is the 30% safety buffer?

What kind of data do I need to provide?

Can I find out the Recovery Time Objective (RTO)?

Is this just a calculator, or does it give performance data too?

How is the node count calculated?

Does this support Redis High Availability?

Can I check network limits?

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