Integration
Connect Metricool and More Good Reviews
When New GMB Review fires in Metricool, your agent runs Customers: Create Customer in More Good Reviews, or Customers: New Customer in More Good Reviews to Add Post to Autolist in Metricool. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Metricool and More Good Reviews to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Metricool and More Good Reviews can do together
From Metricool to More Good Reviews
When New GMB Review in Metricool
then Customers: Create Customer in More Good Reviews
When New Inbox Conversation (By Network) in Metricool
then Customers: Get Customer in More Good Reviews
From More Good Reviews to Metricool
When Customers: New Customer in More Good Reviews
then Add Post to Autolist in Metricool
When Reviews: New Review in More Good Reviews
then Reply GMB Review in Metricool
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Metricool and More Good Reviews
Triggers and actions 5 triggers · 40 actions
Trigger
New GMB ReviewTriggers when a new review is posted on the brand's Google Business Profile.
Trigger
New Inbox Conversation (By Network)Triggers when a new conversation appears in the Metricool inbox for the chosen social network.
Trigger
New Post Comment (By Network)Triggers when a post on the chosen social network receives a new comment in the Metricool inbox.
Action
Add Post to AutolistAdds a new post to one of your Metricool autolists.
Action
Get Your Network Metrics DailyReturns the day's metric values for one of your connected networks (category), such as followers or posts.
Action
Reply ConversationSends a reply message in a Metricool Inbox conversation on a connected social network.
Action
Reply GMB ReviewPublishes a reply to a Google Business Profile review, replacing any existing reply.
Action
Reply Post CommentReplies to a comment on a social post from the Metricool Inbox.
Action
Schedule PostCreates a scheduled post in the Metricool planner for one or more connected social networks.
Trigger
Customers: New CustomerTriggers when a new customer is added to your More Good Reviews project.
Trigger
Reviews: New ReviewTriggers when a new review is collected for the project, optionally limited to a source, location, score, tag or review facet.
Action
Asks: Create AskSchedules a review request to a customer by email and/or SMS, with optional reminder messages.
Action
Charges: Create ChargeRecords a revenue charge for a customer, identified by email or phone, from an external billing system.
Action
Charges: Delete ChargePermanently deletes a mistaken charge (revenue event) from the project.
Action
Customers: Archive CustomerArchives a customer in your More Good Reviews project and cancels any unsent outreach messages to them.
Action
Customers: Cancel Customer Unsent MessagesCancels a customer's scheduled outreach messages that have not been sent yet, without archiving or unsubscribing the customer.
Action
Customers: Create CustomerCreates a customer in your More Good Reviews project, or updates the existing customer that matches the email (or, failing that, the phone) you supply.
Action
Customers: Delete CustomerDeletes a customer from your More Good Reviews project.
Action
Customers: Get CustomerReturns one customer in your project, including their contact details, location and tags.
Action
Customers: List Customer ChargesReturns the revenue charges recorded for one customer, newest first.
Action
Customers: List Customer MessagesReturns the outreach message history (email and SMS review requests) for one customer.
Action
Customers: List CustomersReturns the project's customers, optionally filtered by search text, email, phone, tag, status facet or date range, and sorted.
Action
Customers: Resubscribe CustomerResubscribes a customer who previously opted out, so review requests and other outreach can be sent to them again.
Action
Customers: Unarchive CustomerRestores an archived customer so review requests and integrations treat them as active again.
Action
Customers: Unsubscribe CustomerUnsubscribes a customer from future review-request outreach and cancels any messages not yet sent to them.
Action
Customers: Update Customer NotesReplaces the internal notes stored on a More Good Reviews customer.
Action
Customers: Update Customer TagsReplaces the tags assigned to a customer with the provided list of tag slugs.
Action
Locations: Get LocationReturns a single project location, including its name, display name, slug, store code and address.
Action
Locations: List LocationsReturns every active location on the More Good Reviews project, including each location's slug, store code and address.
Action
Locations: Update LocationUpdates the name, public display name, slug, store code and address of a project location. Fields left blank are not changed.
Action
Messages: Delete MessageDeletes a scheduled or sent outreach message from the project.
Action
Reviews: Delete ReviewDeletes a review from the More Good Reviews project.
Action
Reviews: List ReviewsReturns the project's reviews, optionally filtered by date range, facet, location, source, star rating or tag, and sorted by rating or date.
Action
Reviews: Mark Review RepliedMarks a review as replied (or clears its replied status) when the reply was handled outside More Good Reviews, without changing the stored reply text.
Action
Reviews: Update Review Duplicate FlagMarks a review as a duplicate, or clears its duplicate mark.
Action
Reviews: Update Review TagsReplaces all tags on a review with the given list of tag slugs.
Action
Reviews: Update Review VisibilityShows or hides a review in More Good Reviews public displays.
Action
Sources: Create SourceCreates a review source in your More Good Reviews project, such as a platform where reviews are collected.
Action
Sources: Delete SourceDeletes a review source from the project when it is no longer used.
Action
Sources: List SourcesReturns the review sources (such as Google or Facebook) available for the project's reviews.
Action
Sources: Update SourceUpdates the name, slug, color, or icon of an existing review source.
Action
Tags: Create TagCreates a tag in your More Good Reviews project for organizing customers or reviews.
Action
Tags: Delete TagDeletes a tag from the project, removing it from use on customers and reviews.
Action
Tags: List TagsReturns the project's tags used to organize customers and reviews, optionally limited to customer or review tags.
Action
Tags: Update TagUpdates an existing tag's name, slug, color, icon, or AI tagging settings.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Metricool and More Good Reviews, answered
What can start an automation from Metricool?
Any of Metricool's 3 triggers in the catalog, including New GMB Review, New Inbox Conversation (By Network) and New Post Comment (By Network). Describe the moment in plain language and your agent picks the right one.
What can your agent do in More Good Reviews when something happens in Metricool?
Any of More Good Reviews's 34 actions, including Asks: Create Ask, Charges: Create Charge, Customers: Create Customer and Customers: Get Customer. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from More Good Reviews to Metricool?
Yes. When something happens in More Good Reviews, your agent can act in Metricool too. This page covers both directions: More Good Reviews's triggers and Metricool's actions are listed here as well.
Do I have to build a connector for Metricool or More Good Reviews?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Metricool and More Good Reviews without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.