AWS Neptune Sizing Calculator Connector for AI agents.
3 live capabilities
Provision AWS Neptune graph databases with precise sizing and configuration estimates
Waiting for input…
Why people use AWS Neptune Sizing Calculator
Stop guessing AWS Neptune capacity with the AWS Neptune Sizing Calculator
With this MCP, that manual guesswork disappears. You simply tell your AI client the scale of your graph, and it handles the math. You get immediate, actionable numbers for storage, memory, and cluster configuration. It turns a complex infrastructure planning session into a quick, accurate conversation.
What Vinkius changes
You get production-ready AWS Neptune sizing specs from a simple text prompt.
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 growing social graph
An engineer needs to know if their current Neptune cluster can handle a 20% increase in edges.
- Real-world use case 02
Setting up a production cluster
A cloud architect needs to ensure high availability.
- Real-world use case 03
Optimizing bulk data ingestion
A data engineer is seeing timeouts during large imports.
Complete set · 3capabilities
The complete AWS Neptune Sizing Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with AWS Neptune Sizing Calculator.
01—03
3 capabilities in this set.
Part of 3 available through AWS Neptune Sizing Calculator.
- 01 Capability
Calculate storage needs
Calculates the total storage footprint and memory overhead for your graph. It uses your vertex and edge counts to provide precise sizing.
- 02 Capability
Estimate cluster configuration
Suggests the best instance scaling and replication settings for your cluster. It also provides snapshot retention recommendations.
- 03 Capability
Evaluate performance benchmarks
Provides reference values for workload performance and query sizing. This helps you set limits for bulk loading and query execution.
Set up in minutes
One URL. Then ask AWS Neptune Sizing Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AWS Neptune Sizing 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_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune Sizing Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AWS Neptune Sizing Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune Sizing Calculator URL.
- Step 03
Save and start
Save the connection and enable AWS Neptune Sizing Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-neptune-sizing-calculator": {
"url": "https://edge.vinkius.com/vk_preview_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune Sizing Calculator
Open Agent mode in chat and ask: "Using AWS Neptune Sizing Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-neptune-sizing-calculator": {
"url": "https://edge.vinkius.com/vk_preview_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune Sizing Calculator
Ask Copilot: "Using AWS Neptune Sizing Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-neptune-sizing-calculator": {
"url": "https://edge.vinkius.com/vk_preview_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune Sizing Calculator
Open Cascade and ask: "Using AWS Neptune Sizing Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"aws-neptune-sizing-calculator": {
"url": "https://edge.vinkius.com/vk_preview_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune Sizing Calculator
Ask Cline: "Using AWS Neptune Sizing Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add aws-neptune-sizing-calculator --transport http "https://edge.vinkius.com/vk_preview_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune Sizing Calculator
Ask Claude: "Using AWS Neptune Sizing Calculator, show me...". 3 tools are ready
Where the request belongs
Work AWS Neptune can move forward.
This is built for engineers who need to provision graph infrastructure without the headache of manual capacity planning.
Database Engineer
Calculating precise resource requirements for large-scale graph deployments.
Cloud Architect
Designing high-availability AWS Neptune clusters with correct replica and snapshot settings.
DevOps Engineer
Setting performance thresholds and bulk loading limits for production workloads.
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Before you connect
Questions about AWS Neptune.
The practical details behind the request, access and result.
How can I use the AWS Neptune Sizing Calculator MCP to plan my database?
You can use it to get exact storage and memory requirements by providing your vertex and edge counts to your AI client. It also provides cluster configuration advice.
Can this AWS Neptune Sizing Calculator MCP help with high availability?
Yes. It provides specific recommendations for replica counts and snapshot retention settings to ensure your graph database is set up for high availability.
Will the AWS Neptune Sizing Calculator MCP help me avoid overspending on AWS?
Yes. By providing deterministic sizing for storage and memory, it helps you avoid over-provisioning resources you don't actually need.
Does the AWS Neptune Sizing Calculator MCP work with any AI client?
It works with any MCP-compatible client, including Claude, Cursor, and Windsurf, allowing you to plan your infrastructure directly within your existing workflow.
How accurate are the sizing estimates from the AWS Neptune Sizing Calculator MCP?
The estimates are deterministic and based on the specific vertex and edge counts you provide, making them much more reliable than manual estimates.
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Give your agent a direct line to AWS Neptune.
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