# Order Analytics Connector for e-commerce data. AI Agent Connect > Order Analytics Connector lets your AI client pull direct insights from your transaction history. Instead of manually exporting CSVs, you can ask your agent to calculate total order counts, track how often specific customers shop, monitor order volume trends, or break down your current order statuses. It turns your raw e-commerce data into conversational intelligence. ## Overview - **Category:** ecommerce - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_U5Qw808QKPLoLUjYVEX6Nm8Ev3jpxVQnMJrkMtwU/ai-agent-connect - **Tags:** orders, customers, transactions, reporting, metrics ## Description You no longer need to jump between spreadsheets and dashboards to understand your sales performance. This MCP gives your AI client direct access to your transaction records so it can perform heavy lifting on your behalf. If you need to know how many orders came in last quarter, your agent can pull that number in seconds. If you want to see if a specific customer is becoming more or less active, the tool provides that frequency data immediately. You can also use it to watch for shifts in order volume over time or to see exactly how many orders are currently sitting in pending or cancelled states. It is built to handle the math and the data retrieval, leaving you to focus on the decisions that follow. ## Tools ### get_customer_order_frequency This tool checks how many times a specific customer has placed orders. It's useful for identifying your most loyal shoppers. ### get_order_volume_by_period Use this to see how order counts change over a set timeframe. It helps your agent identify growth or seasonal trends. ### get_orders_by_status_distribution This tool provides a breakdown of orders by their current state, such as completed or cancelled. It helps you monitor operational health. ### get_total_order_count This tool returns the total number of orders placed within a specific date range. It's the fastest way to get a high-level volume check. ## Prompt Examples **Prompt:** ``` How many total orders were placed between 2023-01-01 and 2023-12-31? ``` **Response:** ``` There were 1,250 total orders placed between January 1, 2023, and December 31, 2023. ``` **Prompt:** ``` What is the order frequency for customer ID CUST-9982? ``` **Response:** ``` Customer CUST-9982 has placed 14 orders. ``` **Prompt:** ``` Show me the breakdown of order statuses for the last month. ``` **Response:** ``` For the last month, there were 450 Completed orders, 30 Pending orders, and 15 Cancelled orders. ``` ## Capabilities ### Customer Activity Tracking Your agent uses this to determine how often specific users return to shop. ### Volume Trend Analysis The AI client uses this to monitor if order counts are rising or falling over time. ### Order Status Auditing Your agent pulls status distributions to show you the ratio of completed to cancelled orders. ### Time-based Reporting The tool allows your agent to filter all order data by specific date ranges. ## Use Cases ### Loyalty Monitoring Check the order frequency of a specific customer ID to see if they are a repeat buyer. ### Operational Health Checks Ask for a status distribution to see if your cancelled order rate is spiking. ### Sales Trend Tracking Use order volume tools to compare this month's performance against last month. ### Quick Volume Audits Get the total order count for a specific holiday window to verify sales targets. ## Benefits - Eliminates the need to manually export and clean transaction data. - Provides instant answers to specific customer behavior questions. - Turns raw order logs into clear status distributions via your AI client. - Allows for rapid trend identification through period-based volume checks. ## How It Works Connecting this MCP to your AI client gives your agent immediate access to your order data. 1. Connect your preferred MCP-compatible client to Vinkius. 2. Select the Order Analytics Connector from the catalog. 3. Ask your AI client a question about your orders or customer activity. 4. The agent calls the necessary tool to pull the data. 5. You receive a direct answer based on your real transaction history. ## Frequently Asked Questions **What kind of data can this MCP access?** It accesses order counts, customer purchase frequency, order status distributions, and volume trends over specific periods. **Which AI clients can I use with this?** You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code. **Do I need to host this myself?** No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection. **Can I check a single customer's history?** Yes, you can use the customer order frequency tool to see how many orders a specific ID has placed. **How do I see my order status breakdown?** You can ask your agent to show the status distribution, which will return counts for statuses like Completed, Pending, or Cancelled. **How can I see how many orders a specific customer has made?** Use the `get_customer_order_frequency` tool with the specific customer ID. **Can I include cancelled orders in my total count?** Yes, when using `get_total_order_count`, you can set the `includeCancelled` parameter to true. **How do I view order trends over time?** You can use `get_order_volume_by_period` to get a time series of order counts by day or month.