MCP For Claude Marketplace
AWS ElastiCache Cluster Calculator

AWS ElastiCache Cluster Calculator MCP Connector for Claude

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Deterministic sizing for AWS ElastiCache clusters including Redis and Memcached.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides precise sizing and performance modeling for AWS ElastiCache deployments. Use calculate_cluster_topology to determine the exact number of nodes required for your dataset, accounting for a 30% safety buffer. You can also use analyze_performance_limits to find connection caps and network throughput, or evaluate_reliability_and_eviction to model RTO and eviction impacts for Redis and Memcached clusters.

redismemcachedawssizingcache

3 tools expose this connector's capabilities to your AI agent.

analyze_performance_limits

Calculates the operational constraints such as connection limits and network throughput for the calculated cluster

calculate_cluster_topology

Determines the total number of nodes required to host the dataset based on engine type and availability requirements

evaluate_reliability_and_eviction

Provides insights into data safety, snapshot timing, and how the system behaves under memory pressure

See how to talk to your AI agent using AWS ElastiCache Cluster Calculator.

How many nodes do I need for a 500GB Redis cluster with 64GB nodes and 1 replica per primary?

For a 500GB dataset with 64GB nodes (44.8GB usable), you need 12 data-carrying nodes. With 1 replica per primary, the total cluster size is 24 nodes.

What are the performance limits for a large Memcached node?

A large Memcached node provides specific connection limits and network throughput tailored to its hardware tier.

What is the RTO for a 100GB Redis dataset with snapshots every 30 minutes?

The estimated Recovery Time Objective (RTO) is based on the time required to stream the 100GB dataset from storage back into memory.

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.

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