# Fera.ai MCP > Fera.ai connects your agent directly to your customer reviews and social proof data. Instantly list every review, track product ratings across multiple stores, and pull in user-submitted photos and videos (UGC) through natural conversation. Stop exporting dashboards; start asking questions about your brand reputation. ## Overview - **Category:** customer-experience - **Price:** Free - **Tags:** reviews, ratings, ugc, sentiment-analysis, social-proof ## Description You can take full control of your store's public image without ever leaving your chat window. This MCP lets you connect to Fera.ai, giving your agent direct access to all your customer reviews, ratings, and user-generated content (UGC). Need to know how a specific product is doing? Ask for its aggregated rating and review count. Want to address a difficult customer complaint? Retrieve the full details of that exact review instantly. You can also pull in detailed profiles of customers who left feedback, which helps you personalize your outreach. If you run multiple brands or stores under one account, you won't have to jump between tabs; this MCP lists and queries data across all managed locations. Because it’s hosted on Vinkius, you get access to these powerful social proof tools from any AI client—Claude, Cursor, Windsurf, or whatever agent you prefer. ## Tools ### get_account_info Retrieves general details about your Fera account and current subscription status. ### get_customer Fetches a detailed profile for any specific customer who left feedback. ### get_me Confirms the identity and API token details of your current agent connection. ### get_product_rating Gets the combined rating score and total review count for a specific product identifier. ### get_review Retrieves all the data points, including sentiment metadata, for one single customer review. ### list_site_content Lists available social proof content and widget configurations on your site. ### list_customers Retrieves a list of all customer accounts that have submitted feedback to the platform. ### list_external_integrations Shows which external platforms, like Shopify or Wix, are currently connected to your account. ### list_media Lists all customer-submitted photos and videos (UGC) that you can use for marketing materials. ### list_products Provides a list of every product currently being tracked by Fera.ai in your accounts. ### list_reviews Generates a comprehensive list of all customer reviews across the stores you manage. ### list_stores Lists every individual store that is managed under your primary partner or business account. ## Prompt Examples **Prompt:** ``` List the latest 5 reviews for my store. ``` **Response:** ``` I've retrieved your recent reviews. Your store currently has a 4.8 average rating. The latest feedback includes 'Amazing quality!' from Jane and 'Fast shipping' from Mark. Would you like to see the details for any of these? ``` **Prompt:** ``` Show me the average rating for product SKU-123. ``` **Response:** ``` Fetching ratings for SKU-123... This product has a 4.5 rating based on 42 verified reviews. 85% of customers gave it 5 stars. Shall I retrieve the latest photo reviews for this product? ``` **Prompt:** ``` Check my active integrations on Fera. ``` **Response:** ``` Inspecting integrations... Your Fera account is currently connected to Shopify (Active) and Klaviyo (Active). You also have the Google Search results integration enabled. ``` ## Capabilities ### Analyze product performance You can pull the current aggregated rating and total number of reviews for any specific product. ### Review a single piece of feedback The agent fetches comprehensive details on an individual review, including sentiment metadata. ### Monitor media content You can list and inspect all customer-submitted photos and videos to build your social proof library. ### Track repeat customers The MCP lists detailed profiles for specific users who have submitted feedback, letting you know who they are. ### Audit your tech stack You can list and check the status of all external integrations connected to your account, like Shopify or Wix. ## Use Cases ### The QA team needs to check product performance after a sale. The analyst asks the agent to get aggregated rating and review count for SKU-9021. The agent replies instantly with a 4.3 score based on 78 reviews, letting them know if the recent dip is due to one bad batch or broader dissatisfaction. ### A customer service rep needs context for an angry chat. The rep asks the agent to get details for a specific review ID. The agent pulls up the full, detailed feedback and sentiment metadata immediately, allowing the rep to respond accurately and empathetically. ### Marketing is planning a social media campaign. The marketer prompts the agent to list all customer-submitted photos and videos. The agent returns a catalog of UGC ready for immediate use in ad creative, saving hours of manual asset collection. ### A business owner manages multiple brands under one umbrella. The owner asks the MCP to list stores. The agent first shows all managed locations and then can query review data across the entire portfolio from a single conversation. ## Benefits - Stop manually exporting review data. The agent pulls a complete list of all customer feedback across every store you manage in one go. - You get instant rating intelligence: just ask for the product's aggregated score and total review count without visiting a dashboard. - Don't lose visual proof. You can prompt your agent to inspect all UGC, listing out every photo and video submitted by customers. - When supporting a customer, you don't have to guess what they mean; you can retrieve the full details of a specific review using its ID. - It gives you visibility into who left feedback. By running `list_customers`, your agent provides detailed profiles for personalization. ## How It Works The bottom line is that once it's connected, you just talk to your AI agent and get live data pulled directly from Fera.ai. 1. First, subscribe to this MCP on Vinkius. 2. Next, supply your private Fera.ai API Secret Key when prompted. 3. After setup, you use your agent in any compatible client to ask questions about reviews or ratings. ## Frequently Asked Questions **How do I check product ratings with Fera.ai MCP?** You use the `get_product_rating` tool. Just ask your agent for the rating and review count based on a specific SKU or product identifier, and it pulls that aggregated score instantly. **Can I get details about a specific user using Fera.ai?** Yes, you can use `get_customer`. This tool lets your agent fetch a detailed profile for any customer who has left feedback, which is great for targeted marketing. **Does Fera.ai MCP cover multiple e-commerce brands?** Absolutely. You can use `list_stores` to see all stores managed under your account, and then query reviews across the entire portfolio from one place. **What if I need to list photos and videos (UGC)?** Use the `list_media` tool. This function specifically pulls in all customer-submitted photo and video assets, making your social proof library easily accessible for campaigns. **Is this MCP good for checking my integrations?** Yes. Running `list_external_integrations` lets you audit the status of platforms like Shopify or Wix directly through the agent chat, ensuring everything is connected correctly.