Cloutly MCP. Manage reviews across Google, Facebook, and more.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Cloutly MCP Server manages your entire online reputation. It collects, tracks, and helps you respond to reviews from Google, Facebook, Trustpilot, and more.
Use your AI client to fetch recent reviews, identify pending responses, send review invitations, and post replies directly from one place.
What your AI agents can do
List businesses
Retrieves all business IDs and locations connected to your Cloutly account.
List campaigns
Retrieves details on active review campaigns for a specific business.
List pending reviews
Lists all reviews that have been posted but have not yet received a reply.
Retrieves a list of all business IDs and locations tied to your Cloutly account.
Retrieves details on any configured review collection campaigns for a specific business location.
Pulls a list of reviews that have been posted but have not yet received a reply.
Retrieves a list of reviews across multiple sources, supporting filters by business location and pagination.
Sends a reply to a review, posting the response directly onto its original source platform (Google, Facebook, etc.).
Finds all reviews associated with a specific customer using their name.
Triggers a review request for a customer, sending the invitation via Email or SMS.
Ask AI about this MCP
Supported MCP Clients
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Cloutly MCP Server: 7 Tools for Review Management
Manage your business's entire feedback loop by calling these tools. They let your AI client gather data, find gaps, and post responses across all connected platforms.
019d7574list businesses
Retrieves all business IDs and locations connected to your Cloutly account.
019d7574list campaigns
Retrieves details on active review campaigns for a specific business.
019d7574list pending reviews
Lists all reviews that have been posted but have not yet received a reply.
019d7574list reviews
Pulls a list of reviews across multiple sources, allowing you to filter by business and pagination.
019d7574reply to review
Posts a reply to a review, making the response visible on the review's original platform.
019d7574search reviews by author
Finds all reviews left by a specific customer, using their name as the search criteria.
019d7574send review invite
Triggers a review request for a customer, sending the invitation via Email or SMS.
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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- Deploy to edge with MCPFusion framework
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Make Your AI Do More
Start with Cloutly, 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
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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
Your AI client can manage your whole online reputation using the Cloutly MCP Server. It pulls and organizes reviews from Google, Facebook, Trustpilot, and other sources, keeping everything in one place. You can use your agent to fetch all your connected business locations using list_businesses, and you can check out details on any active review campaigns for a specific spot with list_campaigns.
If you need to pull a general list of reviews, you can run list_reviews, which supports filtering by business location and pagination. You can also find all the reviews left by a specific customer just by running search_reviews_by_author with their name. To tackle unreplied feedback, you can run list_pending_reviews to get a list of reviews that are waiting for a response.
You can send review requests to a customer using send_review_invite, sending the invite via Email or SMS. When you need to respond, you'll post the reply to a review using reply_to_review, making sure the response shows up right on the original platform.
If you wanna start, you'll first grab all your business locations with list_businesses. Then, you can check out which reviews are waiting for a reply with list_pending_reviews. You can also check out what campaigns are running for any specific location with list_campaigns. You can find all the reviews for a particular person with search_reviews_by_author, or you can pull a massive list of reviews using list_reviews and filter it down to what you need.
Once you've got the data, you can send out review invites to new customers with send_review_invite, or you can reply to the feedback right where it was left using reply_to_review.
How Cloutly MCP Works
- 1 First, use
list_businessesto identify the specific location or business ID you want to work on. - 2 Next, use
list_reviewsto pull all relevant review data, applying filters for the desired business ID. - 3 Finally, send a reply using
reply_to_reviewwith the review ID and your prepared text. The reply posts directly to the source platform.
The bottom line is you can move from data gathering to public action (replying) without switching apps.
Who Is Cloutly MCP For?
This is for the Reputation Manager or Customer Experience Lead. They wake up needing to know if a negative review from last week is still sitting unanswered. They hate manually checking Google Business Profile, Facebook, and Trustpilot separately. This server lets them treat all feedback as one data stream.
Uses list_pending_reviews to build a queue of necessary responses, then uses reply_to_review to clear the backlog efficiently.
Uses search_reviews_by_author to find all feedback for a specific high-value customer, helping to manage their account and prevent churn.
Uses send_review_invite to automate outreach and increase the volume of new reviews, boosting overall brand visibility.
What Changes When You Connect
- See every review in one place.
list_reviewsaggregates feedback from Google, Facebook, and Trustpilot, so you don't have to check multiple dashboards. - Clear the response backlog fast.
list_pending_reviewsshows exactly which reviews are unanswered, letting you prioritize your efforts. - Increase new reviews automatically. Use
send_review_inviteto trigger targeted requests via email or SMS, building your positive content stream. - Respond without context switching.
reply_to_reviewposts the response directly to the original source, keeping your public record accurate. - Track specific customers.
search_reviews_by_authorlets you find all feedback linked to one person, regardless of which platform it came from. - Understand your scope.
list_businessesfirst gives you a clear list of all location IDs, ensuring your review data is always scoped correctly.
Real-World Use Cases
Handling a crisis response
A PR manager finds a negative spike. They use list_reviews to pull all feedback from the last 48 hours, identifying the core complaint (e.g., 'slow shipping'). They then use list_pending_reviews to find specific, unanswered 1-star reviews, and finally use reply_to_review to issue a public, apologetic response.
Re-engaging a high-value client
A Customer Success Manager wants to boost retention. They use search_reviews_by_author to pull all feedback for a key client. They see a few months of silence, so they use send_review_invite to prompt a new review, keeping the client engaged and visible.
Weekly reporting on reputation
The marketing analyst needs a report. They first run list_businesses to confirm all active locations. Then, they use list_campaigns to see what collection efforts are running, and finally, they use list_reviews to generate the raw data set for their internal BI tool.
Managing a new branch opening
The operations team needs to track reviews for a new site. They use list_businesses to get the new location ID. They then use list_reviews to pull all feedback specifically for that ID, giving them an immediate reputation baseline.
The Tradeoffs
Checking review sources manually
A manager opens Google Business Profile, then tabs to Facebook, then logs into Trustpilot. They copy and paste key complaints into a spreadsheet to track the response status.
→
Don't check them manually. Start by running list_businesses to get your IDs. Then, run list_reviews to pull all data into your agent, keeping everything in one place.
Responding without context
A support agent sees a review and manually drafts a reply, then has to remember which platform it was on and remember to paste it there.
→
Use list_pending_reviews to see what needs work. Once you write the response, just run reply_to_review. It posts it to the right place automatically.
Ignoring the user base
A team only tracks reviews from major sites like Google, forgetting that smaller, industry-specific sites also host feedback.
→
Start by calling list_reviews and specifying the full list of connected sources. If you need to target a specific person, use search_reviews_by_author instead of relying on general searches.
When It Fits, When It Doesn't
Use this server if your main pain point is managing volume and visibility. You need to aggregate feedback from disparate sources (Google, Yelp, etc.) and automate the response flow. You should use it if you need to find all pending replies or if you need to send out review invites. Don't use this if your goal is deep, qualitative sentiment analysis—it provides the raw data, but you need a separate tool for complex sentiment modeling. Also, if you only need to track reviews for a single, known ID, you could potentially get away with just list_reviews, but using list_businesses first keeps your data scope airtight.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloutly. 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 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking customer feedback shouldn't feel like logging into five different apps.
Right now, managing reputation means opening Google Business Profile, then switching tabs to Facebook, then logging into Trustpilot. You copy the complaint from one place, paste it into a spreadsheet, and then manually log into the third platform just to post a reply. It's slow, and you always lose track of which platform needs attention.
With this MCP server, your agent pulls all the data together. You run `list_reviews` and see every complaint—no matter the source—in a single data stream. You move from copy-pasting and context switching to a single command that gathers the full picture.
Cloutly MCP Server: Manage reviews with `list_pending_reviews`.
The biggest manual step that disappears is manually compiling a 'To-Do' list of replies. Instead, you call `list_pending_reviews` and get a clean, filtered list of every review that needs an answer, regardless of platform or star rating.
The difference is that you stop managing a list of tasks, and you start managing your reputation. You get the actionable intelligence you need, instantly.
Common Questions About Cloutly MCP
How do I use the `list_reviews` tool to get all my feedback? +
You call list_reviews and pass the necessary filters, like a business ID. This tool aggregates reviews from all connected sources into one response. You can also use list_businesses first to get the required IDs.
What is the best way to find reviews for one customer? Use `search_reviews_by_author`? +
Yes, that's the right tool. search_reviews_by_author lets you search by name and pulls all associated feedback, regardless of how many locations you manage.
Can I reply to a review using the `reply_to_review` tool? +
Yes. reply_to_review posts the reply directly to the source platform (Google, Facebook, etc.). It's not just a draft; it goes live where the review is.
How do I find reviews that need a reply? Use `list_pending_reviews`. +
You run list_pending_reviews. This tool specifically filters out reviews that have been replied to, giving you a clean queue of outstanding items.
How do I send a review invitation using `send_review_invite`? +
You call send_review_invite and provide the customer details and desired delivery method (Email or SMS). The tool handles the actual outreach.
How do I use `list_businesses` to check which locations I manage? +
You use list_businesses to pull a complete list of all locations tied to your Cloutly account. This ensures your AI client knows exactly which businesses it can target for review data or campaigns.
What happens if I try to reply to a review with `reply_to_review`? +
The reply_to_review tool posts the reply directly to the original source platform (like Google or Facebook). The system handles the platform's API requirements so you don't have to worry about it.
Can I check for active review campaigns using `list_campaigns`? +
Yes, list_campaigns retrieves all active review campaigns for a specified business. This lets your agent see which outreach efforts are running and when they are due.
How do I get my Cloutly API key? +
You can generate an API key in your Cloutly dashboard under Developers > Public API to access your permanent key.
Which review sources are supported? +
Cloutly natively supports Google, Facebook, Trustpilot, TripAdvisor, and many other industry-specific platforms out of the box.
Can I reply to reviews directly from the MCP? +
Yes, if supported by the channel API, the 'reply_to_review' tool allows you to draft and instantly post responses from your AI.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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