Use Attribution Model Comparator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Compare 5 attribution models (First Touch, Last Touch, Linear, etc.) to quantify revenue delta across all marketing channels.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
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
Calculate attribution delta
Use this to identify which models over- or under-credit specific channels. Compare attribution share results across multiple models to determine revenue discrepancy for a target channel
- 02
Calculate attribution shares
Returns individual channel shares with percentage weights. Calculate proportional revenue share credit for each touchpoint using a specific attribution model
- 03
Fetch conversion metrics
Reconciles multiple sales records linked by conversionId. Retrieve the total revenue value and currency for a specific conversion event
- 04
Get customer journey
Use this to establish input data for attribution model calculations. Retrieve the chronologically ordered touchpoint sequence for a customer leading up to a conversion event
Observed, not estimated
637ms average. Fast in production.
Attribution Model Comparator is checked daily against the live service.
- Fastest day
- 498ms
- Slowest day
- 801ms
- 14-day trend
- Slowing+49%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Attribution Model Comparator, so you can see the experience inside your AI.
It does not authenticate your account with Attribution Model Comparator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Attribution Model Comparator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Attribution Model Comparator capabilities are ready to use.
{
"mcpServers": {
"attribution-model-comparator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Attribution Model Comparator owners ask.
- 01
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.
- 02
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.
- 03
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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