Seasonality Index Calculator Connector for AI agents.
3 live capabilities
Predict inventory demand and optimize stock levels using historical sales patterns.
Waiting for input…
Why people use Seasonality Index Calculator
Seasonality Index Calculator for Retail Inventory Planning
This Connector changes that by letting your agent do the heavy lifting. You just provide the sales history, and the capability handles the math to tell you exactly how much your demand fluctuates. You get a clear plan for which months need an aggressive push and which ones should stay lean.
What Vinkius changes
You get a data-backed inventory plan instead of a gut feeling.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Predicting holiday demand spikes
A retail owner asks the agent to check last year's data to see if they should order more for November using `analyze_extremes`.
- Real-world use case 02
Planning for slow periods
A warehouse manager identifies trough months to plan for lower staffing levels and reduced stock intake.
- Real-world use case 03
Verifying organic growth
An e-commerce brand uses the capability to see if their growth is real or just a temporary holiday bump by deseasonalizing sales.
Complete set · 3capabilities
The complete Seasonality Index Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Seasonality Index Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Seasonality Index Calculator.
- 01 Capability
Analyze extremes
Pinpoints the highest and lowest months in your sales cycle to help you prepare for peak periods. Use it to identify exactly when you need the most and least amount of stock.
- 02 Capability
Calculate seasonal indices
Calculates monthly seasonal indices and deseasonalized demand to show how much sales vary from the average. This helps you see true demand trends without the noise of seasonal spikes.
- 03 Capability
Generate recommendations
Provides specific stocking postures and suggested unit counts based on your seasonal indices and targets. It tells you whether to go aggressive or lean for any given month.
Set up in minutes
One URL. Then ask Seasonality Index Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Seasonality Index 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_CThfHs6aFZAReVvUxfuM36sTwdRBa41fcxLrvt89/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 Seasonality Index Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Seasonality Index Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_CThfHs6aFZAReVvUxfuM36sTwdRBa41fcxLrvt89/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 Seasonality Index Calculator URL.
- Step 03
Save and start
Save the connection and enable Seasonality Index Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"seasonality-index-calculator": {
"url": "https://edge.vinkius.com/vk_preview_CThfHs6aFZAReVvUxfuM36sTwdRBa41fcxLrvt89/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 Seasonality Index Calculator
Open Agent mode in chat and ask: "Using Seasonality Index Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"seasonality-index-calculator": {
"url": "https://edge.vinkius.com/vk_preview_CThfHs6aFZAReVvUxfuM36sTwdRBa41fcxLrvt89/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 Seasonality Index Calculator
Ask Copilot: "Using Seasonality Index Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"seasonality-index-calculator": {
"url": "https://edge.vinkius.com/vk_preview_CThfHs6aFZAReVvUxfuM36sTwdRBa41fcxLrvt89/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 Seasonality Index Calculator
Open Cascade and ask: "Using Seasonality Index Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"seasonality-index-calculator": {
"url": "https://edge.vinkius.com/vk_preview_CThfHs6aFZAReVvUxfuM36sTwdRBa41fcxLrvt89/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 Seasonality Index Calculator
Ask Cline: "Using Seasonality Index Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add seasonality-index-calculator --transport http "https://edge.vinkius.com/vk_preview_CThfHs6aFZAReVvUxfuM36sTwdRBa41fcxLrvt89/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 Seasonality Index Calculator
Ask Claude: "Using Seasonality Index Calculator, show me...". 3 tools are ready
Where the request belongs
Work Seasonality Index Calculator can move forward.
This is for inventory managers and supply chain planners who are tired of overstocking during slow months and running out of stock during peak seasons.
Inventory Manager
Uses this to justify stock levels to leadership and avoid carrying excess capital in slow months.
Supply Chain Planner
Uses it to create proactive demand plans and set specific stocking postures for different quarters.
Retail Store Owner
Uses it to see which months actually drive the most volume without digging through old spreadsheets.
Build the capability set
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Each Connector adds new actions and data without changing how you work.
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Time-Series Seasonality Engine
Compute exact Autocorrelation (ACF) to find seasonality lags in time-series data without hallucination.
Exponential Smoothing Engine
Apply Simple Exponential Smoothing (Holt-Winters family) for local deterministic time-series forecasting.
Bring your own AI
Change the model, client or framework. Keep Seasonality Index Calculator connected.
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Before you connect
Questions about Seasonality Index Calculator.
The practical details behind the request, access and result.
Can the Seasonality Index Calculator help me predict holiday sales?
Yes, it looks at your past holiday performance to see how much those months typically deviate from your normal sales, helping you prepare more accurately.
What kind of data do I need to provide for the Seasonality Index Calculator?
You just need your historical monthly sales records. The more months of data you provide, the more accurate the seasonal indices will be.
How does this help me avoid overstocking?
It identifies your trough months so you can adopt a Lean stocking posture, ensuring you don't sit on excess inventory during slow periods.
Can I use the Seasonality Index Calculator for any retail product?
It works for any product that shows a recurring seasonal pattern in your sales history, from electronics to seasonal apparel.
Does the Seasonality Index Calculator give me specific unit numbers?
Yes, it can suggest specific unit counts for your orders based on a target average and your unique seasonal indices.
How is this different from a simple monthly average?
A simple average treats every month the same. This capability calculates how much each month fluctuates compared to that average to find the real trend.
What is a seasonal index?
A seasonal index quantifies how much a specific period deviates from the long-term average. A value of 1.0 is neutral, above 1.0 indicates a peak, and below 1.0 indicates a trough.
How much historical data is required?
To establish a reliable pattern, the capability requires at least two full years of monthly sales records.
Can I get inventory recommendations?
Yes, using the generate_recommendations capability, you can receive actionable stocking postures like 'Aggressive' or 'Lean' based on your seasonal indices.
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