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Connect Attribution Model Comparator to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pinpoint exactly where your revenue credit is missing.

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Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Attribution Model Comparator.

  1. 01

    Calculate attribution delta

    Use this capability to compare attribution share results across multiple models, determining the revenue discrepancy for a specific channel.

  2. 02

    Calculate attribution shares

    This capability calculates proportional revenue share credit for each touchpoint using a specific attribution model, returning individual channel shares with percentage weights.

  3. 03

    Fetch conversion metrics

    Retrieve the total revenue value and currency for a specific conversion event, reconciling multiple sales records linked by a conversion ID.

  4. 04

    Get customer journey

    Establish the input data for attribution model calculations by retrieving the chronologically ordered touchpoint sequence for a customer leading up to a conversion event.

Real work

What teams actually run

01

Comparing Paid Search vs. Organic

You can run the MCP to compare how Paid Search and Organic channels are credited across different models to justify budget shifts.

02

Analyzing Multi-Channel Funnels

Use the capability to process a full customer journey, ensuring no touchpoint is overlooked when calculating revenue share.

03

Auditing Marketing Spend

By calculating the attribution delta, you can prove which channels are significantly under- or over-credited by current models.

04

Determining True ROI

The MCP helps you move beyond simple last-click metrics to assign a more accurate, comprehensive value to every marketing effort.

Automate a task

Put Attribution Model Comparator to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Attribution Model Comparator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Attribution Model Comparator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

722ms average. Fast in production.

Attribution Model Comparator is checked daily against the live service.

Daily averagePeak 1049ms
Oct 3Today
Fastest day
581ms
Slowest day
1049ms
14-day trend
Stable-3%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_iZ45hRxjO4K9loq9CyaUIA7eVM6WcbEsi2M1DrGa/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Attribution Model Comparator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Guided setup for Claude? Set up Attribution Model Comparator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Attribution Model Comparator owners hand off.

This MCP is built for marketing professionals who need to prove ROI and accurately allocate credit across complex sales funnels. If you struggle to prove which initial ad or final email was responsible for a sale, this is for you. Your AI client handles the heavy lifting of comparing multiple models.

  • 01

    Marketing Analyst

    Use it to compare attribution shares across different models to find revenue discrepancies.

  • 02

    Growth Manager

    Run the full customer journey data through the MCP to identify which channels deserve more credit.

  • 03

    Digital Strategist

    Calculate the revenue delta between models to justify budget shifts between marketing channels.

FAQ

Questions Attribution Model Comparator owners ask.

  • 01

    What is the difference between attribution shares and the delta?

    Attribution shares show the proportional revenue credit assigned to each touchpoint by a specific model. The delta, calculated by the MCP, shows the difference in revenue credit when you compare two or more models against each other.

  • 02

    Does this MCP require me to input the customer journey data?

    No. Your AI client handles this. It uses the get_customer_journey capability to automatically retrieve the chronologically ordered touchpoint sequence needed for the calculations.

  • 03

    Can I use this for any type of conversion?

    The MCP is designed to reconcile multiple sales records linked by a conversion ID, allowing you to retrieve the total revenue value and currency for the event.

  • 04

    What models can I compare?

    The toolset supports comparing multiple models, including First Touch, Last Touch, Linear, Time Decay, and Position-Based models.

  • 05

    Is this capability only for B2B marketing?

    No. It is designed for general marketing analytics, allowing you to measure revenue contribution across any marketing channel, regardless of the industry.

  • 06

    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.

  • 07

    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.

  • 08

    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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