# Okendo Reviews MCP > Okendo Reviews MCP manages all your customer feedback, social proof, and product ratings directly from your AI agent. It gives you deep insight into everything customers are saying—from star ratings and full reviews to unanswered questions and uploaded photos. Stop opening multiple dashboards; let your agent pull all that critical e-commerce data into a natural conversation. ## Overview - **Category:** ecommerce - **Price:** Free - **Tags:** customer-reviews, social-proof, feedback-loop, ratings, customer-engagement, product-feedback ## Description Your agent connects to this MCP, giving it read access to your Okendo account's customer feedback loop. Instead of logging into the review dashboard or pulling reports via CSV, you simply ask for insights. You can get overall store ratings and product-specific metrics at a glance. Need to know what people are asking about? List all customer questions and check their answers. You can even pull specific photos or videos customers uploaded with their reviews—great for marketing material. The entire catalog of available tools is managed by Vinkius, making it simple to connect your preferred AI client and start analyzing data immediately. ## Tools ### get_aggregate_ratings Retrieves a summary of your store's overall star rating and review count. ### get_okendo_product_details Gets specific review metrics, ratings, and feedback for any product ID you provide. ### get_question_details Fetches the full text and details of a single customer question using its unique identifier. ### get_review_details Retrieves all metadata for a specific review, including who wrote it and when. ### get_store_settings Pulls high-level configuration details about your Okendo account setup. ### list_question_answers Lists the official answers that have been provided in response to customer questions. ### list_review_media Gathers a list of any photos or videos uploaded by customers as part of their reviews. ### list_okendo_products Provides an inventory list of all products that have been integrated with Okendo. ### list_customer_questions Lists recent questions asked by customers on your site, including the question title and date. ### list_reviews Gathers a list of customer reviews, showing key details like star rating and review title. ## Prompt Examples **Prompt:** ``` Show me the 5 most recent customer reviews. ``` **Response:** ``` Retrieving recent reviews... I found 5 new ratings: four 5-star reviews and one 4-star review. Customers are highlighting 'Excellent build quality' and 'Fast shipping'. Would you like to read the full body of the 4-star review? ``` **Prompt:** ``` What is the overall star rating for our store? ``` **Response:** ``` Fetching aggregate ratings... Your store currently has an overall rating of 4.8 stars based on 1,250 reviews. This is a very strong score! Shall I provide the aggregate ratings for your top 3 products as well? ``` **Prompt:** ``` List the recent questions asked by customers on the site. ``` **Response:** ``` Retrieving Q&A... I found 3 new questions regarding 'Size and Fit' and 'International Shipping'. 2 of these questions are currently unanswered. Would you like to see the details so you can prepare a response? ``` ## Capabilities ### Get overall store ratings Instantly retrieve the current star rating and total review count for your entire site. ### Analyze specific product feedback Pull detailed review information, including text, star rating, and metrics, for any single product you track. ### List recent customer reviews Fetch a list of the latest submitted customer ratings, complete with titles and body content. ### Identify common questions and answers Get lists of frequently asked customer questions and the official answers provided on your site. ### View all tracked products See a list of every product integrated into Okendo so you know exactly what data is available for analysis. ## Use Cases ### Product team needs to know why sales dipped last month. The agent first calls `list_reviews` for the top 5 products. Then, it uses `get_okendo_product_details` on those specific IDs to filter reviews by negative keywords ('size', 'breakage'). This quickly shows if quality concerns are trending and helps prioritize product fixes. ### Marketing team needs content for a paid ad campaign. They use the MCP to call `list_review_media`. The agent compiles links to the best-rated customer photos, allowing them to quickly pass curated assets to a designer. This is much faster than manually browsing the gallery. ### Support team needs to update the FAQ section. The support lead runs `list_customer_questions` and notices three unanswered questions regarding returns. They then use `get_question_details` on one of those IDs to gather enough context to write a perfect, authoritative answer. ### Manager needs an immediate health check before a meeting. The manager asks the agent for the store rating. The MCP calls `get_aggregate_ratings` and immediately provides the score (e.g., 4.8/5 stars, based on 1250 reviews), giving them instant authority in the discussion. ## Benefits - Stop manually compiling site performance metrics. With `get_aggregate_ratings`, you pull the current store rating and total review count instantly, right in your chat window. - Pinpoint product weak spots quickly. Instead of sifting through hundreds of comments, use `get_okendo_product_details` to compare ratings across your entire catalog. - Streamline customer service responses. By using `list_customer_questions`, you see exactly which questions are unanswered, letting your team prioritize documentation updates. - Turn reviews into marketing assets. The MCP lets you call `list_review_media`, gathering links to customer-uploaded photos and videos for social campaigns—no manual downloads required. - Deep dive into specific feedback. If a review is confusing or critical, use `get_review_details` with the unique ID to get every piece of metadata attached to that single submission. ## How It Works The bottom line is, you get real-time, actionable customer feedback without ever leaving your AI client interface. 1. Subscribe to this MCP and enter your unique Okendo Subscriber ID (Store ID). 2. Connect the credentials to your AI client. 3. Ask your agent a question, like 'What's our average rating?' or 'List 5 recent reviews.' The agent uses the tools to pull the data into your chat. ## Frequently Asked Questions **How do I use the Okendo Reviews MCP to find all customer photos?** You call `list_review_media` and specify the time frame or product ID. This tool will return a list of links to every photo or video uploaded by customers for review. **What is the difference between listing reviews and getting product details using Okendo Reviews MCP?** Listing reviews (`list_reviews`) gives you a summary list (title, rating, date) of many submissions. Getting product details (`get_okendo_product_details`) focuses on one specific product to pull all its associated metrics. **Can I find out if my store has an overall high rating using Okendo Reviews MCP?** Yes, simply use the `get_aggregate_ratings` tool. It provides a single figure for your total star count and the number of reviews contributing to that score. **Does Okendo Reviews MCP help me respond to questions?** The MCP helps you find the data needed to write a response by calling `list_customer_questions` or `get_question_details`, but it doesn't post the answer itself. **How many tools are in the Okendo Reviews MCP?** There are ten specialized tools that allow your AI agent to access every corner of your customer feedback data, from ratings to site settings.