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Connect Average Order Value Analytics 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. Track and analyze customer spending patterns through your AI agent.

Ask AI about this Connector

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.

How Vinkius works: one connection, every tool, in any AI
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.

Complete set · 4 capabilities

The complete Average Order Value Analytics capability set.

These are the exact actions your AI can choose when you ask it to work with Average Order Value Analytics.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Average Order Value Analytics.

  1. 01

    Get aov trend

    This capability provides a chronological list of AOV values. Use it to see how spending patterns change over a specific timeline.

  2. 02

    Get global aov

    This capability retrieves the total average order value for your entire business. It covers any timeframe you specify.

  3. 03

    Get segmented aov

    This capability calculates AOV for specific subsets of your data. You can target particular product categories or customer segments.

  4. 04

    Compare aov periods

    This capability compares AOV between two different timeframes. It helps you measure growth or decline between specific periods.

One connector, every AI

Average Order Value Analytics 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 Average Order Value Analytics 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

1058ms average. Fast in production.

Average Order Value Analytics is checked daily against the live service.

Daily averagePeak 1215ms
Sep 23Today
Fastest day
891ms
Slowest day
1215ms
14-day trend
Improving-13%

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 Average Order Value Analytics, so you can see the experience inside your AI.

It does not authenticate your account with Average Order Value Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Average Order Value Analytics Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_FqMC2kymUMmhECwDhbfBlUgNnTNxdrilMkuobnls/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 — Average Order Value Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "average-order-value-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_FqMC2kymUMmhECwDhbfBlUgNnTNxdrilMkuobnls/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? How to give Claude access to Average Order Value Analytics

See all the AI clients this connector works with ↑

Who it's for

Built for the work Average Order Value Analytics owners hand off.

This MCP is for ecommerce professionals who need to monitor spending trends without manual data entry.

  • 01

    Ecommerce Managers

    They ask the agent to check if specific product launches increased the average basket size.

  • 02

    Data Analysts

    They use the agent to quickly pull segmented AOV reports for specific customer cohorts.

  • 03

    Marketing Leads

    They task the agent with comparing AOV before and after a marketing campaign.

FAQ

Questions Average Order Value Analytics owners ask.

  • 01

    What is this MCP used for?

    It is used to calculate and analyze Average Order Value (AOV) across different business segments and timeframes.

  • 02

    Can I compare AOV between two different months?

    Yes, you can use the compare_aov_periods capability to measure performance shifts between any two distinct timeframes.

  • 03

    Which AI clients can I use with this?

    You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 04

    Can I look at AOV for specific product categories?

    Yes, the get_segmented_aov capability allows you to drill down into specific product categories or customer types.

  • 05

    How do I see if my AOV is trending up or down?

    You can use the get_aov_trend capability to get a chronological series of values to see how spending changes over time.

  • 06

    How is Average Order Value calculated?

    AOV is calculated by dividing the total revenue by the total number of orders within a specific timeframe.

  • 07

    Can I analyze AOV for specific product categories?

    Yes, you can use the get_segmented_aov capability to filter AOV by 'productCategory' or 'customerType'.

  • 08

    How do I compare performance between two months?

    You can use the compare_aov_periods capability by providing the start and end dates for both periods.

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