# Zengain MCP for AI Agents AI Agent Connect > Zengain MCP lets you manage customer success and product analytics through your AI client. It pulls real-time health scores, tracks usage events, and monitors product milestones to help you spot churn risks before they happen. Stop digging through dashboards and start asking your agent for the data you need to keep customers happy. ## Overview - **Category:** data-analytics - **Price:** Free - **Endpoint:** https://edge.vinkius.com/undefined/ai-agent-connect - **Tags:** customer-success, product-analytics, lead-scoring, user-engagement, adoption-metrics, customer-health ## Description You're tired of jumping between tabs to see if your newest customers are actually using the product or just letting it sit idle. This Connector changes that by letting your AI agent pull the ground truth directly from the Zengain platform. Instead of manual exports, you can just ask your agent to tell you which users are struggling or which features are getting the most love. It handles the heavy lifting of scanning product configurations, pulling user profiles, and calculating health scores on the fly. When you connect this to your workflow via the Vinkius catalog, you're essentially giving your AI a direct line into your customer's reality. You can spot a drop in engagement instantly, identify high-intent leads, and get a pulse on your product's health without ever opening a separate analytics tool. It makes the move from reactive firefighting to proactive success a lot easier. ## Tools ### get_product Pulls the configuration and details for one specific product. Use this to see the exact setup of a single offering. ### get_analytics_summary Provides a high-level summary of your usage analytics. It gives you a quick pulse on overall product activity. ### get_user_details Gets the profile and engagement info for a specific user. It helps you understand individual customer behavior. ### list_events Lists all the tracking events you have currently set up. Use this to see what data you're currently collecting. ### list_kpms Shows your Key Product Milestones to help spot onboarding success or churn. It helps you see if users are hitting their goals. ### list_products Lists all products in your account so you can see your full portfolio. It provides a quick overview of your offerings. ### list_users Pulls a list of all product users for your records. Use this to get a sense of your total user base. ### list_webhooks Shows your configured webhooks so you can check your data flow. It helps you verify that your integrations are active. ### track_event Records a custom event to monitor how users interact with specific features. This is key for tracking feature adoption. ### get_health_score Returns the current health score for a specific customer. It helps you identify who needs immediate attention. ## Prompt Examples **Prompt:** ``` Who are my highest risk customers right now? ``` **Response:** ``` Based on the latest health scores, here are the accounts showing signs of churn risk: | Customer Name | Health Score | Last Activity | | :--- | :--- | :--- | | **Acme Corp** | 34/100 | 12 days ago | | **Globex Inc** | 41/100 | 8 days ago | | **Soylent Corp** | 28/100 | 15 days ago | Would you like me to pull the detailed engagement logs for any of these? ``` **Prompt:** ``` Give me a summary of how people are using our products this month. ``` **Response:** ``` Here is the usage summary for this month: * **Daily Active Users (DAU):** 1,200 * **Monthly Active Users (MAU):** 5,500 * **Top Feature:** Real-time Sync (Adoption is at an all-time high) * **Growth Trend:** +12% increase in DAU compared to last month. Let me know if you want a deeper dive into specific product configurations. ``` **Prompt:** ``` What's the status of our 'Real-time Sync' feature adoption? ``` **Response:** ``` I've checked the custom events for 'Real-time Sync'. * **Total Events Tracked:** 14,200 * **Success Rate:** 98.5% * **Most Active Region:** North America Users seem to be adopting this quickly. I can list all tracking events if you need to see what else we're monitoring. ``` ## Capabilities ### Pull real-time customer health scores Get an immediate status update on a specific customer's health to prioritize your outreach. ### List all registered products See your full product portfolio and configuration metadata in one go. ### Track custom events Monitor how users interact with specific features to measure adoption. ### Identify churn risks Use Key Product Milestones to see which users are falling behind on onboarding. ### View detailed user profiles Get a deep dive into individual user engagement and profile data. ### Monitor webhooks Check your integration data flow by listing all configured webhooks. ## Use Cases ### Spotting Churn Risks A CSM notices a drop in activity and asks the agent to check health scores for the top 10 accounts using get_health_score. ### Measuring Feature Adoption A Product Manager asks for a summary of usage analytics to see if the new sync tool is being used via get_analytics_summary. ### Identifying High-Intent Leads A growth lead asks to list users and check their engagement to find high-intent prospects using list_users and get_user_details. ### Auditing Data Flow An engineer asks to list webhooks to ensure the data flow is correctly configured for their latest integration via list_webhooks. ## Benefits - Stop manual health audits by using get_health_score to get instant status updates for your top accounts. - Identify churn risks faster by using list_kpms to track which milestones your users are missing. - See exactly how people use your app with track_event and list_events to measure real feature adoption. - Get a bird's eye view of your portfolio with list_products and get_analytics_summary to see total activity. - Understand individual user behavior by pulling profiles with get_user_details for personalized outreach. - Verify your integration data flow quickly by using list_webhooks to check all active connections. ## How It Works The bottom line is you get a direct conversational link to your product's success metrics. 1. Subscribe to the Zengain MCP in the Vinkius catalog. 2. Enter your Zengain Tenant ID and API Key. 3. Start asking your AI client for customer health updates or usage summaries. ## Frequently Asked Questions **Can the Zengain MCP help me find churn risks?** Yes, it allows your agent to check Key Product Milestones and health scores instantly. You can ask the agent to identify which customers are falling behind on their onboarding goals. **How do I see if people are using my new features?** You can use the Connector to track custom events for specific features. This gives you real-time data on how often people interact with new tools you've launched. **Can I get a summary of my product's performance?** Yes, the Connector can pull a high-level analytics summary. This includes key metrics like active user counts and feature adoption rates for your entire portfolio. **Does the Zengain MCP work with my current AI client?** It works with any MCP-compatible client, including Claude, Cursor, and Windsurf. Once connected via Vinkius, your agent can access all the data. **How do I see user health scores?** You can simply ask your agent for the health score of a specific customer. It will pull the real-time data from Zengain and summarize it for you in the chat. **Can I see all my products in one place?** Yes, the Connector can list all registered products in your account. This is great for getting a quick overview of your current offerings and their configurations. **Can I calculate a customer's health score using my AI agent?** Yes! Use the `get_health_score` tool by providing the User ID. The agent will retrieve the real-time engagement score from Zengain. **How do I see high-level usage summary for a specific product?** Use the `get_analytics_summary` tool. You can optionally provide a Product ID to filter the metrics for that specific offering. **Is it possible to track a new custom event through this integration?** Yes, use the `track_event` action. Provide the User ID and the Event Name to record engagement data programmatically.