Junip MCP. Analyze product reviews and customer questions instantly.
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Junip: Manages your entire customer feedback lifecycle. This MCP Server lets your AI client pull product reviews, track customer questions, and monitor your review request campaigns directly through the Junip API.
You can list all products, get specific review details, and audit all answers to ensure your social proof is always up to date.
What your AI agents can do
Get account
Retrieves details about your Junip account and verifies your access levels.
Get product
Gets specific performance details for one product ID.
Get question
Retrieves all details for a specific customer question.
Retrieve all product reviews using list_reviews and analyze the content to gauge overall customer feeling.
Use list_questions and get_question to pull all customer questions and investigate specific inquiries before drafting a reply.
Check active campaigns and review request settings using list_campaigns to know how you collect feedback.
List all answers via list_answers to ensure that every customer question is properly addressed.
Call list_products to get a list of all items and their associated review metrics.
Use list_themes to check which display themes are available for your storefront.
Ask AI about this MCP
Supported MCP Clients
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019d75beget account
Retrieves details about your Junip account and verifies your access levels.
019d75beget product
Gets specific performance details for one product ID.
019d75beget question
Retrieves all details for a specific customer question.
019d75beget review
Returns all metadata and links for a single product review.
019d75belist answers
Lists all recorded answers provided to customer questions for auditing.
019d75belist campaigns
Lists all active campaigns designed to collect new customer reviews and feedback.
019d75belist products
Lists all products in your store, including names and aggregate review metrics.
019d75belist questions
Lists every customer question, along with its status and associated products.
019d75belist reviews
Lists all product reviews in your store, showing ratings and content.
019d75belist themes
Lists all available display themes for your product review section.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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- Publish to catalog or keep private
Make Your AI Do More
Start with Junip, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Junip: Manage Product Reviews & Feedback
Your AI client can pull every piece of customer feedback and product data right through the Junip API. It lets you track product reviews, manage customer questions, and monitor your review request campaigns without leaving your workflow. You'll get a full picture of your social proof, making sure your site always looks sharp.
Listing and Inventory Checks
Your agent can list all products in your store, getting names and aggregate review metrics for each one. You can pull a full list of every product review, showing ratings and the actual content. To dig into a specific review, your agent retrieves all metadata and links using get_review. You can also get specific performance details for any product ID using get_product.
Customer Feedback and Support
Your client can list every customer question, showing its status and which products it relates to. If you need details on one specific inquiry, your agent gets all information using get_question. To audit responses, your agent lists every recorded answer provided to customer questions via list_answers.
Campaign Management and Site Settings
Your agent can list all active campaigns set up to collect new customer reviews and feedback using list_campaigns. You can also check which display themes are available for your storefront using list_themes. You'll start by checking your access levels and account details with get_account.
Analyzing the Data
By pulling all product reviews with list_reviews, your agent lets you analyze the content to gauge overall customer feeling. You can use list_questions and get_question to pull all customer questions and investigate specific inquiries before drafting a reply. Calling list_products gives you a clear list of all items and their associated review metrics.
This setup lets you audit everything—from how you collect feedback to how the reviews are displayed on your site.
How Junip MCP Works
- 1 Your agent first calls
list_productsto get a list of all product IDs and their current review metrics. - 2 Next, your agent uses the IDs to call
list_reviewsorlist_questionsto gather the specific data needed for analysis. - 3 The agent then structures the raw data, using tools like
get_revieworget_question, to provide a clean summary to you.
The bottom line is you get a single, unified stream of structured data about your store's customer feedback.
Who Is Junip MCP For?
The e-commerce operations manager who needs a real-time pulse on customer sentiment. You're the one tired of manually exporting CSVs from the review dashboard just to figure out which products are getting neglected. This server lets your AI client read the data directly.
Runs weekly reports on product performance, cross-referencing list_reviews data with list_products metrics to identify underperforming items.
Uses list_questions and get_question to find recurring customer concerns, feeding those topics into new blog content or product copy.
Checks list_answers and get_question to audit the quality of responses, ensuring the team maintains a consistent and helpful voice.
What Changes When You Connect
- See every product's review score and name using
list_products. You instantly know which items need a marketing push because they have no feedback data. - Draft accurate responses for customer inquiries. By calling
get_questionfirst, your agent has all the necessary context before writing a reply. - Monitor your brand's voice. Use
list_answersto audit responses across all questions, ensuring consistency and quality across your support team. - Track feedback collection efforts.
list_campaignstells you exactly what review request efforts are currently running, so you don't miss a chance to get social proof. - Deep dive into testimonials.
get_reviewpulls not just the rating, but also custom responses and photo/video links for rich analysis. - Audit storefront appearance.
list_themeslets you see all available review display themes, helping you select the best presentation for your site.
Real-World Use Cases
Diagnosing low sales on a specific item
The marketing team noticed Product X was underperforming. They ask their agent to check the feedback. The agent runs list_products to confirm the item's status, then uses list_reviews and get_review to pull sentiment data, identifying a pattern of confusion about size. This feedback informs a new size guide page.
Handling a sudden surge in customer questions
A new product launched, causing a flood of questions. A service lead asks their agent to check the queue. The agent runs list_questions to get the full list, then uses get_question for the top 5 items to determine if the issue is a product flaw or just poor description.
Checking campaign effectiveness
The e-commerce manager wants to boost reviews. They ask the agent to check the current status. The agent runs list_campaigns and then list_themes to see what campaigns are running and what the visual presentation of reviews looks like.
Building a 'Top Questions' widget
A developer needs a widget on the homepage. They ask the agent to pull the data. The agent runs list_questions and then get_question on the most common ones to pull the text and status for display.
The Tradeoffs
Only looking at the raw review list
Just calling list_reviews and reading the text. This gives you raw data but doesn't tell you why the customer is confused or what the product's overall performance is.
→
First, call list_products to get the aggregate metrics. Then, use list_reviews to get the raw data, and finally, use get_review on the most important ones. This sequence gives you a complete picture.
Treating questions and answers as separate tasks
Running list_questions and then separately running list_answers. You lose the context of which question the answer actually belongs to, making the audit useless.
→
Always check the specific question first by calling get_question. This ensures you link the answer data correctly, giving you a complete audit trail.
Guessing product performance
Making decisions about product inventory based on gut feeling. This is slow and risky.
→
Use list_products to pull verified, aggregate review metrics for every item. This gives you objective data for making decisions.
When It Fits, When It Doesn't
Use this MCP Server if you need to build a system that reacts to customer feedback. You need to know what customers think, why they think it, and how to respond. For instance, if you are building a customer service bot, you need get_question and list_answers. If you're doing marketing analysis, you need list_products and list_reviews. Don't use this if you just need to view a list of products—list_products handles that. If you need to manage the visual appearance of reviews, check list_themes. The server is for analysis and data retrieval, not for setting up the reviews themselves.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Junip. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking customer feedback used to involve jumping through three different dashboards.
Today, to get a full picture of your social proof, you have to jump from the Shopify dashboard to the Junip review page, then cross-reference those details with your internal support ticketing system. You spend time exporting CSVs, cleaning them up in Excel, and manually linking product IDs to sentiment scores.
With this MCP server, your agent pulls all the data in one go. You get the product ID, the review content, the rating, and the customer question all structured and ready to use. It's instant, clean data.
Junip MCP Server: Getting all your product reviews and questions
Before, finding out what questions customers had about a product meant logging into the review tool, searching the product ID, and then checking a separate tab for Q&A. It was a multi-step, error-prone process.
Now, your agent runs `list_questions` and `list_reviews` to pull everything into a single context. You get the full context and data points immediately, without any manual searching or page switching.
Common Questions About Junip MCP
How do I list all recent product reviews using the Junip MCP Server? +
You call the list_reviews tool. This function returns all product reviews, along with ratings and the review content, giving you a full dump of your social proof.
Can I use the Junip MCP Server to see if a product has any questions? +
Yes, use the list_questions tool. It returns all customer questions and specifies which products those inquiries are associated with.
Do I need `get_review` or `list_reviews` to see the review content? +
Use list_reviews if you want a quick list of all reviews. Use get_review if you need the full, detailed record for one specific review, including media links.
What tool should I use to check my active review campaigns? +
Call list_campaigns. This tool lists all active review request campaigns, letting you know exactly what feedback collection efforts are running.
How do I check the quality of customer answers? +
Use the list_answers tool. It lists all recorded answers to customer questions, allowing you to audit response quality across your entire customer base.
How do I check the available products and their aggregate review metrics using `list_products`? +
Use list_products to get a list of all products. This list includes product names, IDs, and aggregate review metrics, letting you quickly identify which items have reviews.
What tool do I use to find all customer questions that need a merchant response, like `list_questions`? +
list_questions returns the question text, status, and associated products. This helps you find specific customer inquiries that require a merchant response.
Which tool helps me see all answers given to customer questions, like `list_answers`? +
You use list_answers to list all answers to questions. This is useful for auditing response quality and ensuring all customer queries are addressed correctly.
How do I get Junip API credentials? +
Log in to your Junip admin dashboard, navigate to Settings > API, and generate a new Access Token for a Private App.
Can I see customer questions? +
Yes, you can list and retrieve customer questions and answers using the corresponding tools in this MCP.
Does it support review campaigns? +
Yes, the list_campaigns tool allows you to retrieve information about your active review request campaigns.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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