Integration
Connect Metricool to Tango
When New GMB Review fires in Metricool, your agent runs Add customer in Tango. 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 Tango 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 Tango
When New GMB Review in Metricool
then Add customer in Tango
When New Inbox Conversation (By Network) in Metricool
then Resend order in Tango
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 Tango
Triggers and actions 3 triggers · 16 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 accountCreates a new account under a Tango customer, with its display name, contact email and currency.
Action
Add customerCreates a new customer (a group that holds reward accounts) on your Tango platform.
Action
Get accountReturns the details of a specific Tango account, including its current balance, currency, status and contact email.
Action
Get customerReturns the details of a specific customer (group) on your Tango platform, including its accounts.
Action
Get orderReturns the full details of a single Tango reward order, including recipient, amount charged, status and reward credentials.
Action
List accountsReturns the accounts on your Tango platform, optionally filtered by number, name, status, email, currency, balance or creation date.
Action
List brand categoriesReturns all brand categories used to group brands in the Tango rewards catalog.
Action
List catalog itemsReturns the brands and reward items in your Tango platform's catalog, optionally filtered by brand, reward, status, type, currency, country or category.
Action
List ordersReturns the reward orders placed on your Tango platform, optionally filtered by account, customer, date range, recipient, reward, status and more.
Action
Resend orderResends the reward delivery for an existing order, optionally to a new email address, mobile number, email template or delivery method.
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 Tango, 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 Tango when something happens in Metricool?
Any of Tango's 10 actions, including Add account, Add customer, Get account and Get customer. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Tango to Metricool?
Tango has no triggers in the catalog today, so automations start in Metricool. If you need the other direction, ask: your agent reads Tango's API documentation and adds it.
Do I have to build a connector for Metricool or Tango?
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 Tango 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.