MCP For Claude Marketplace
AWS Redshift Cluster Calculator

AWS Redshift Cluster Calculator MCP Connector for Claude

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Deterministic sizing for AWS Redshift clusters, including node counts, concurrency scaling, and WLM configuration.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides precise sizing and configuration for AWS Redshift clusters. Use calculate_cluster_size to determine the required number of nodes based on data volume and hardware profiles like dc2, ds2, or ra3. Optimize your environment using optimize_workload_performance to manage concurrency scaling slots, distribution styles, and sort key strategies. Finally, use configure_resource_management to set up WLM queues and snapshot schedules. It acts as a bridge between your AI agent and AWS Redshift architecture planning.

awsredshiftdata-warehouseinfrastructuresizing

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

calculate_cluster_size

Determines the fundamental hardware requirements for the Redshift cluster

configure_resource_management

Sets up the internal governance of the cluster, including memory allocation and data backups

optimize_workload_performance

Provides configuration for query execution, scaling, and data organization

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

How many nodes do I need for 50TB of data using dc2 nodes?

For 50TB of data on dc2 nodes, you will need a specific number of nodes based on the storage capacity of the dc2 tier. Please run `calculate_cluster_size` with 50 as the data volume to get the exact count.

Help me optimize a cluster with 5 nodes and 20 concurrent queries.

To optimize a 5-node cluster with 20 concurrent queries, use `optimize_workload_performance`. This will calculate available concurrency scaling slots and recommend a distribution style like 'even' or 'key' to maximize performance.

Set up a snapshot schedule for a 10-node cluster.

You can configure the snapshot schedule by calling `configure_resource_management` with 10 nodes and your preferred frequency (hourly, daily, or weekly).

You can use the `calculate_cluster_size` tool. Provide the total compressed data volume in TB and select your preferred node type (dc2, ds2, or ra3) to get the exact node count.

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