Attribution Model Comparator Connector for AI agents.
4 live capabilities
Analyze marketing spend and revenue distribution across multiple attribution models.
Waiting for input…
Why people use Attribution Model Comparator
Attribution Model Comparator: Solving the Credit Gap in Marketing Analytics
This Connector changes that by letting your agent do the heavy lifting. It pulls the journey, gets the revenue, and runs the math for all five models instantly. You get a clear picture of the revenue distribution without the manual data entry.
What Vinkius changes
You get a clear, data-backed view of which marketing channels actually deserve the credit for your revenue.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking if social ads are actually driving sales
A growth manager wants to know if social ads are actually driving sales or just being first touch noise by comparing models.
- Real-world use case 02
Comparing Linear vs. Time Decay models
A performance marketer needs to see the revenue difference between a Linear and Time Decay model for a specific channel.
- Real-world use case 03
Analyzing high-value customer journeys
An analyst wants to see the exact revenue weight for an Email Newsletter for a specific high-value customer using multiple models.
Complete set · 4capabilities
The complete Attribution Model Comparator capability set.
These are the exact actions your AI can choose when you ask it to work with Attribution Model Comparator.
01—04
4 capabilities in this set.
Part of 4 available through Attribution Model Comparator.
- 01 Capability
Calculate attribution shares
Gets the percentage weight for each touchpoint based on a specific model. This helps you see the relative value of every interaction.
- 02 Capability
Fetch conversion metrics
Pulls the total revenue and currency for a unique conversion ID. It links your sales data to specific customer actions.
- 03 Capability
Calculate attribution delta
Compares two models to show the revenue difference for a specific channel. This highlights which channels are being over-credited.
- 04 Capability
Get customer journey
Pulls the full sequence of interactions a customer had before buying. It gives you the chronological context for every sale.
Set up in minutes
One URL. Then ask Attribution Model Comparator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Attribution Model Comparator 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_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/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 Attribution Model Comparator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Attribution Model Comparator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/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 Attribution Model Comparator URL.
- Step 03
Save and start
Save the connection and enable Attribution Model Comparator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"attribution-model-comparator": {
"url": "https://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/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 Attribution Model Comparator
Open Agent mode in chat and ask: "Using Attribution Model Comparator, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"attribution-model-comparator": {
"url": "https://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/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 Attribution Model Comparator
Ask Copilot: "Using Attribution Model Comparator, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"attribution-model-comparator": {
"url": "https://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/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 Attribution Model Comparator
Open Cascade and ask: "Using Attribution Model Comparator, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"attribution-model-comparator": {
"url": "https://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/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 Attribution Model Comparator
Ask Cline: "Using Attribution Model Comparator, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add attribution-model-comparator --transport http "https://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/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 Attribution Model Comparator
Ask Claude: "Using Attribution Model Comparator, show me...". 4 tools are ready
Where the request belongs
Work Attribution Model Comparator can move forward.
This is for marketing professionals who need to justify spend to leadership. It solves the problem of 'black box' marketing where it's unclear which ads actually drive revenue.
Marketing Analyst
They need to prove ROI to the board by showing how different models change the winner of a sale.
Growth Manager
They want to see the full path to purchase to figure out where to double down on spend.
Performance Marketer
They need to spot over-credited channels to stop wasting budget on low-impact ads.
Build the capability set
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Bring your own AI
Change the model, client or framework. Keep Attribution Model Comparator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
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Before you connect
Questions about Attribution Model Comparator.
The practical details behind the request, access and result.
How does Attribution Model Comparator help with marketing ROI?
It shows how different models weight your spend. By comparing them, you can see which channels are actually driving revenue and which ones are just getting credit for being the first or last click.
Can I see the full customer journey with Attribution Model Comparator?
Yes, it pulls the full chronological sequence of every interaction a customer had before making a purchase, giving you the context needed for accurate analysis.
What marketing models does Attribution Model Comparator support?
It supports the five standard models: First Touch, Last Touch, Linear, Time Decay, and Position-Based.
Can Attribution Model Comparator find over-credited channels?
Yes, it calculates the delta between different models. This helps you spot if a channel is being over-credited by one model while being undervalued by another.
How does Attribution Model Comparator handle different currencies?
It reconciles metrics by conversion ID and pulls the correct currency for the specific conversion event, ensuring your revenue totals are accurate.
What is the necessary input data to start an attribution comparison?
You must first use the get_customer_journey capability, providing a customer ID and conversion date. This establishes the ordered sequence of touchpoints needed for all subsequent calculations.
How do I get the financial value used as a baseline for attribution?
Use fetch_conversion_metrics with the specific conversion ID. This capability retrieves the total revenue amount, which serves as the single, absolute figure that all five attribution models will proportionally divide.
After calculating shares for multiple models, how do I find out which model is most biased?
The calculate_attribution_delta capability takes the full results from all share calculations (via calculate_attribution_shares) and compares them. It quantifies the revenue gain or loss for a specific channel across models, highlighting discrepancies.
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