AWS ElastiCache Cluster Calculator Connector for AI agents.
3 live capabilities
Model Redis and Memcached cluster sizing and performance limits
Waiting for input…
Why people use AWS ElastiCache Cluster Calculator
Stop guessing AWS ElastiCache sizing with this
With this MCP, you stop doing the math and start asking questions. You tell your agent your dataset size and your requirements, and it gives you a precise cluster topology. You get the exact node counts and performance limits you need to build a stable cache layer without the manual headache.
What Vinkius changes
You get production-ready cache sizing without the manual spreadsheet math.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,400+ Connectors
- Real-world use case 01
Scaling a Redis cluster for a growing dataset
An engineer needs to expand a 200GB Redis cache.
- Real-world use case 02
Preventing connection exhaustion in Memcached
A DevOps engineer worries about hitting connection limits on a new Memcached tier.
- Real-world use case 03
Validating RTO for disaster recovery
An architect needs to know how long a 500GB cluster takes to recover from a snapshot.
Complete set · 3capabilities
The complete AWS ElastiCache Cluster Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with AWS ElastiCache Cluster Calculator.
01—03
3 capabilities in this set.
Part of 3 available through AWS ElastiCache Cluster Calculator.
- 01 Capability
Analyze performance limits
Calculates operational constraints like connection caps and network throughput for your cluster. It helps you avoid hitting hardware bottlenecks.
- 02 Capability
Calculate cluster topology
Determines the total number of nodes required to host your specific dataset. It accounts for engine type and your availability needs.
- 03 Capability
Evaluate reliability and eviction
Models how your system handles memory pressure and data safety. It provides insights into snapshot timing and eviction behavior.
Set up in minutes
One URL. Then ask AWS ElastiCache Cluster Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AWS ElastiCache Cluster Calculator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AWS ElastiCache Cluster Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AWS ElastiCache Cluster Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AWS ElastiCache Cluster Calculator URL.
- Step 03
Save and start
Save the connection and enable AWS ElastiCache Cluster Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-elasticache-cluster-calculator": {
"url": "https://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AWS ElastiCache Cluster Calculator
Open Agent mode in chat and ask: "Using AWS ElastiCache Cluster Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-elasticache-cluster-calculator": {
"url": "https://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AWS ElastiCache Cluster Calculator
Ask Copilot: "Using AWS ElastiCache Cluster Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-elasticache-cluster-calculator": {
"url": "https://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AWS ElastiCache Cluster Calculator
Open Cascade and ask: "Using AWS ElastiCache Cluster Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-elasticache-cluster-calculator": {
"url": "https://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AWS ElastiCache Cluster Calculator
Ask Cline: "Using AWS ElastiCache Cluster Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add aws-elasticache-cluster-calculator --transport http "https://edge.vinkius.com/vk_preview_UTVcouw1YQ33pinzvvKkH8GWdEB4X3PY0xG9dx7r/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AWS ElastiCache Cluster Calculator
Ask Claude: "Using AWS ElastiCache Cluster Calculator, show me...". 3 tools are ready
Where the request belongs
Work AWS ElastiCache can move forward.
This is for the engineers and architects who need to guarantee cache performance without over-provisioning or under-sizing their AWS infrastructure.
Cloud Architect
Designing resilient caching layers that meet specific RTO and throughput requirements.
DevOps Engineer
Validating that new cluster configurations won't hit connection limits during peak traffic.
Backend Developer
Sizing Redis or Memcached clusters to match application memory demands and dataset growth.
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Bring your own AI
Change the model, client or framework. Keep AWS ElastiCache connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
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AnythingLLM -
Open WebUI -
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Cherry Studio -
LibreChat -
TypingMind -
Chorus -
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LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AWS ElastiCache.
The practical details behind the request, access and result.
How can I use this AWS ElastiCache Cluster Calculator MCP for my production setup?
You can use it to model your cluster's node requirements, check if your hardware can handle your connection limits, and estimate how long it will take to recover from a failure.
Does the AWS ElastiCache Cluster Calculator MCP support both Redis and Memcached?
Yes, this MCP is designed to provide accurate sizing and performance modeling for both Redis and Memcached deployments on AWS.
Can I use this MCP to prevent my cache from running out of memory?
Yes. By using the capabilities to calculate topology with a 30% safety buffer and evaluating eviction behavior, you can plan for memory pressure before it happens.
How does this MCP help with AWS ElastiCache capacity planning?
It automates the math for node counts, network throughput, and connection limits, giving you deterministic numbers instead of estimates.
Will this MCP tell me if my AWS ElastiCache instance is too small?
Yes, you can use it to check if your chosen instance type can handle your specific dataset size and connection demands.
One connection away
Give your agent a direct line to AWS ElastiCache.
Connect AWS ElastiCache once. Keep it beside 6,400+ managed Connectors when the next task needs more.
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