Integration
Connect Metricool to Mailazy
When New GMB Review fires in Metricool, your agent runs Add contact in Mailazy. 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 Mailazy 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 can start in Mailazy
When New GMB Review in Metricool
then Add contact in Mailazy
When New Inbox Conversation (By Network) in Metricool
then Add contact to list in Mailazy
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 Mailazy
Triggers and actions 3 triggers · 18 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.
Action
Add contactCreates a contact in Mailazy, optionally adding it to one or more lists right away.
Action
Add contact to listAdds a contact to a Mailazy list by contact id or email, which schedules that list's automation emails.
Action
Add listCreates a new contact list in your Mailazy product.
Action
Add suppressionAdds an email address to the product's suppression list so no more email is sent to it. Re-adding an address already suppressed returns the existing entry.
Action
Add tagCreates a new tag in your Mailazy product. Tag names are unique, ignoring case.
Action
Delete contactDeletes a contact from your Mailazy product.
Action
Find contact by emailFinds a Mailazy contact by its email address and returns the contact record.
Action
Get contactReturns a single Mailazy contact by its ID, including email, name and metadata.
Action
List contactsReturns contacts in your Mailazy product, optionally filtered and sorted by created date.
Action
List listsReturns all contact lists in your Mailazy product.
Action
Remove contact from listRemoves a contact from a list and cancels any pending sends for that list.
Action
Update contactUpdates a Mailazy contact's name and merges new values into its metadata.
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 Mailazy, 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 Mailazy when something happens in Metricool?
Any of Mailazy's 12 actions, including Update contact, Add contact, Add contact to list and Add list. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Mailazy to Metricool?
Mailazy has no triggers in the catalog today, so automations start in Metricool. If you need the other direction, ask: your agent reads Mailazy's API documentation and adds it.
Do I have to build a connector for Metricool or Mailazy?
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 Mailazy 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.