ABC-XYZ Classifier Connector for AI agents.
3 live capabilities
Optimize stock levels and supply chain strategy with automated inventory classification.
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Why people use ABC-XYZ Classifier
ABC-XYZ Inventory Classifier for Supply Chain Stock Optimization
This Connector changes the game by automating the heavy lifting of ABC and XYZ analysis. Your AI agent can take a raw list of products and instantly sort them into categories based on real data. You get a finished strategy matrix that tells you exactly how to handle each item, from just-in-time ordering to building up large safety buffers.
What Vinkius changes
You get a prioritized action plan for every item in your inventory.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Finding priority items in a massive catalog
A retail buyer has 5,000 SKUs and doesn't know which ones to reorder first.
- Real-world use case 02
Fixing frequent stockouts on lumpy parts
A warehouse keeps running out of a specific part because demand is erratic.
- Real-world use case 03
Creating a unified replenishment plan
A distributor wants a unified plan for all products.
Complete set · 3capabilities
The complete ABC-XYZ Classifier capability set.
These are the exact actions your AI can choose when you ask it to work with ABC-XYZ Classifier.
01—03
3 capabilities in this set.
Part of 3 available through ABC-XYZ Classifier.
- 01 Capability
Classify abc priority
Sorts your SKUs into A, B, or C categories based on their total annual value. This helps you see what actually drives your bottom line.
- 02 Capability
Get strategy matrix
Combines your ABC and XYZ data to give you a specific management policy for each item. It tells you whether to use just-in-time ordering or build up safety stock.
- 03 Capability
Classify xyz stability
Measures how much your demand fluctuates over time to assign X, Y, or Z ratings. It identifies which products are easy to predict and which are not.
Set up in minutes
One URL. Then ask ABC-XYZ Classifier to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ABC-XYZ Classifier 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_gysrDWyYP1W01Kpks89gNPoUEDSZnqIN9eTgP37t/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 ABC-XYZ Classifier, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ABC-XYZ Classifier for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_gysrDWyYP1W01Kpks89gNPoUEDSZnqIN9eTgP37t/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 ABC-XYZ Classifier URL.
- Step 03
Save and start
Save the connection and enable ABC-XYZ Classifier in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"abc-xyz-inventory-classifier": {
"url": "https://edge.vinkius.com/vk_preview_gysrDWyYP1W01Kpks89gNPoUEDSZnqIN9eTgP37t/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 ABC-XYZ Classifier
Open Agent mode in chat and ask: "Using ABC-XYZ Classifier, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"abc-xyz-inventory-classifier": {
"url": "https://edge.vinkius.com/vk_preview_gysrDWyYP1W01Kpks89gNPoUEDSZnqIN9eTgP37t/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 ABC-XYZ Classifier
Ask Copilot: "Using ABC-XYZ Classifier, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"abc-xyz-inventory-classifier": {
"url": "https://edge.vinkius.com/vk_preview_gysrDWyYP1W01Kpks89gNPoUEDSZnqIN9eTgP37t/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 ABC-XYZ Classifier
Open Cascade and ask: "Using ABC-XYZ Classifier, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"abc-xyz-inventory-classifier": {
"url": "https://edge.vinkius.com/vk_preview_gysrDWyYP1W01Kpks89gNPoUEDSZnqIN9eTgP37t/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 ABC-XYZ Classifier
Ask Cline: "Using ABC-XYZ Classifier, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add abc-xyz-inventory-classifier --transport http "https://edge.vinkius.com/vk_preview_gysrDWyYP1W01Kpks89gNPoUEDSZnqIN9eTgP37t/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 ABC-XYZ Classifier
Ask Claude: "Using ABC-XYZ Classifier, show me...". 3 tools are ready
Where the request belongs
Work ABC-XYZ Classifier can move forward.
Supply chain managers who are tired of manual spreadsheets and inventory analysts trying to predict lumpy demand.
Supply Chain Manager
Analyzes stock levels to prevent stockouts during peak seasons.
Inventory Analyst
Categorizes thousands of SKUs to determine optimal order quantities.
Warehouse Ops Lead
Decides which items need the most frequent cycle counts.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep ABC-XYZ Classifier connected.
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Before you connect
Questions about ABC-XYZ Classifier.
The practical details behind the request, access and result.
What is the ABC-XYZ Inventory Classifier?
It is a capability that helps you group your stock by how much money it is worth and how predictable your sales are. It gives you a clear plan for what to order and when.
How does this help with stockouts?
By using classify_xyz_stability, you can find items with erratic demand. This lets you set higher safety stocks for those specific products so you do not run out.
Can it handle thousands of SKUs?
Yes, your AI agent can process large lists of product data to categorize them into ABC and XYZ groups in seconds.
What is an ABC analysis?
It is a way to rank your items based on their total annual value. The Connector uses classify_abc_priority to do this for you automatically.
What is an XYZ analysis?
This measures how much your demand fluctuates. The Connector identifies X items as steady sellers and Z items as unpredictable.
Does this capability tell me how much to order?
It provides a strategy matrix. This gives you a specific management policy for each category, like just-in-time replenishment or safety stock buffers.
How does the ABC classification work?
The classify_abc_priority capability calculates the total annual consumption value of all SKUs. It then sorts them from highest to lowest and assigns categories: A (top 80% value), B (next 15%), and C (remaining 5%).
What is the purpose of XYZ analysis?
The classify_xyz_stability capability measures demand volatility. It uses the coefficient of variation (standard deviation divided by the mean) to categorize items as X (stable), Y (variable), or Z (irregular).
How can I generate management recommendations?
Use the get_strategy_matrix capability by providing the outputs from both ABC and XYZ classifications. It will intersect the results to provide specific policies like 'High precision replenishment' for AX items.
One connection away
Give your agent a direct line to ABC-XYZ Classifier.
Connect ABC-XYZ Classifier once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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