Gross Margin Analyzer Connector for AI agents.
3 live capabilities
Analyze product profitability and simulate COGS reductions for SaaS or hardware businesses.
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Why people use Gross Margin Analyzer
Gross Margin Analyzer for Profitability Diagnostics
This Connector changes that. You just give your agent the raw data, and it handles the math. You get a clear list of what's profitable, what's failing, and a projection of how your margins will change if you optimize your costs.
What Vinkius changes
You get a clear roadmap of which products to keep, cut, or optimize.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Identifying low-margin SKUs in a hardware catalog
A hardware brand has 50 new SKUs and doesn't know which ones are profitable.
- Real-world use case 02
Modeling server cost reductions for SaaS
A SaaS company wants to know if moving to a new server provider will improve margins.
- Real-world use case 03
Benchmarking marketplace seller performance
A marketplace seller sees declining profits and uses the benchmarking capability to see how their margins compare to other marketplace sellers in their category.
Complete set · 3capabilities
The complete Gross Margin Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with Gross Margin Analyzer.
01—03
3 capabilities in this set.
Part of 3 available through Gross Margin Analyzer.
- 01 Capability
Calculate product margins
The calculate_product_margins capability computes the current profitability margin for a provided list of products. This gives you a clear view of your profit on every item in your inventory.
- 02 Capability
Detect underperforming products
The detect_underperforming_products capability identifies products failing to meet industry minimum profitability thresholds. It highlights which items are underperforming so you can prioritize your efforts.
- 03 Capability
Simulate cogs savings impact
The simulate_cogs_savings_impact capability forecasts projected gross margin improvement from COGS reduction. Use this to see how much your profit will grow if you lower your production costs.
Set up in minutes
One URL. Then ask Gross Margin Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Gross Margin Analyzer 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_OqZvHfnOUFuhu5HpYpgVHOw6rBpQLKXof2pXoF7F/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 Gross Margin Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Gross Margin Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_OqZvHfnOUFuhu5HpYpgVHOw6rBpQLKXof2pXoF7F/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 Gross Margin Analyzer URL.
- Step 03
Save and start
Save the connection and enable Gross Margin Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"gross-margin-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_OqZvHfnOUFuhu5HpYpgVHOw6rBpQLKXof2pXoF7F/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 Gross Margin Analyzer
Open Agent mode in chat and ask: "Using Gross Margin Analyzer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"gross-margin-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_OqZvHfnOUFuhu5HpYpgVHOw6rBpQLKXof2pXoF7F/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 Gross Margin Analyzer
Ask Copilot: "Using Gross Margin Analyzer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"gross-margin-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_OqZvHfnOUFuhu5HpYpgVHOw6rBpQLKXof2pXoF7F/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 Gross Margin Analyzer
Open Cascade and ask: "Using Gross Margin Analyzer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"gross-margin-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_OqZvHfnOUFuhu5HpYpgVHOw6rBpQLKXof2pXoF7F/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 Gross Margin Analyzer
Ask Cline: "Using Gross Margin Analyzer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add gross-margin-analyzer --transport http "https://edge.vinkius.com/vk_preview_OqZvHfnOUFuhu5HpYpgVHOw6rBpQLKXof2pXoF7F/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 Gross Margin Analyzer
Ask Claude: "Using Gross Margin Analyzer, show me...". 3 tools are ready
Where the request belongs
Work Gross Margin Analyzer can move forward.
This is for product managers and finance leads who are tired of manual spreadsheet auditing. It's for the person who needs to justify a budget cut or a price hike with hard data.
Product Manager
Uses this to decide which SKUs to discontinue or promote based on actual margin data on a Tuesday afternoon.
Finance Analyst
Uses this to run what-if scenarios for manufacturing cost reductions during quarterly planning.
E-commerce Owner
Uses this to see which marketplace items are barely breaking even after shipping and fees.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Calculate unit profitability, margin indices, and weighted product mix margins.
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Calculate EBITDA, margins, and EV/EBITDA multiples with industry benchmark comparisons.
Inventory Turnover Calculator
Calculate inventory turnover ratio, DSI, and compare performance against industry benchmarks.
Break-Even Calculator
Calculate accounting, economic, and financial break-even points with margin of safety analysis.
Bring your own AI
Change the model, client or framework. Keep Gross Margin Analyzer connected.
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Before you connect
Questions about Gross Margin Analyzer.
The practical details behind the request, access and result.
Can the Gross Margin Analyzer help me see which products are losing money?
Yes, it identifies products that fall below specific industry profitability thresholds. It flags these laggards so you can focus on your high-performing items.
How does the Gross Margin Analyzer handle different industries like SaaS?
It uses specific industry benchmarks for SaaS, Marketplace, and Hardware. This ensures your products are compared against relevant competitors rather than unrelated categories.
Can I use the Gross Margin Analyzer to plan for future cost savings?
Yes, you can use the simulation capability to forecast how much your gross margin will improve if you manage to reduce your COGS by a specific percentage.
Is the Gross Margin Analyzer good for large product catalogs?
It is designed to handle lists of products, allowing your agent to compute margins and identify underperforming items across your entire inventory at once.
What kind of data do I need to give my agent for the Gross Margin Analyzer?
You just need to provide a list of your products along with their corresponding revenue and COGS figures. The Connector handles the rest of the calculations.
Can I use the Gross Margin Analyzer to compare my business to others?
Yes, by using the benchmarking capabilities, you can see how your current margins stack up against the standard thresholds for your specific industry.
What industry benchmarks are used?
The capability uses hardcoded thresholds: SaaS (70%+), Marketplace (20-40%), and Hardware (40-60%).
Can I use this for multiple products at once?
Yes, the calculate_product_margins capability accepts an array of product objects to process them in a single call.
What happens if I provide an unknown industry type?
The detect_underperforming_products capability will return an error stating that no benchmark exists for the provided category.
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