Resources · Make integration

MightyChat Make integrationAutomate MightyChat with Make.

Can Make react to what happens in your MightyChat inbox? The MightyChat Make integration gives you 3 modules: 1 trigger that watches conversations and 2 actions. This page shows support and sales teams how to link the account and build a first working scenario.

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What you can automate

What does the MightyChat Make integration let you do?

It links your MightyChat account to Make, a no-code tool where you build a scenario: the automation itself, a chain of modules that each do one job. With 3 MightyChat modules, Make can spot conversations, look up the person behind them and feed your chatbot, then pass that data to any other app you use.

Know who is writing in. Watch Conversations picks up conversations from MightyChat, and Get User Data fetches the user details MightyChat returns. Pair them and each new chat can land as a contact in your CRM or as a row in a spreadsheet, without anyone copying details by hand.

Keep the bot up to date. Train a Chatbot, as its name suggests, is the module for training your MightyChat bot from a scenario. When your help content changes in another tool, Make can be the bridge that carries it over.

Alert the right person. Start from Watch Conversations and route each conversation to a chat app or an email, so a teammate sees it without keeping MightyChat open.

Know the limits before you plan: the MightyChat docs in Make describe no fields and no module details, and there is no generic API call module for this app. Anything outside these 3 modules needs another route. If you want a second opinion on the platform, read our Make review, compare costs on Make pricing, or see how the tools differ in n8n vs Make.

Connect

How do you connect MightyChat to Make?

  1. 01

    Copy your API key

    Log in to MightyChat and open the Account section. If no key is shown, click Generate, then copy the API key. You also need an active MightyChat account; without one, Make has nothing to connect to.

  2. 02

    Add a MightyChat module

    In your Make scenario, add any MightyChat module and click Create a connection. A connection is your MightyChat account linked to Make once; every MightyChat module in your scenarios reuses it afterward.

  3. 03

    Name it and paste the key

    The Connection name field is optional, but a clear name helps when you run several accounts. Paste the API key you copied, follow any prompt on screen, and save. Make now reads your MightyChat data.

First scenario

Build your first scenario with MightyChat

GoalWhen a conversation shows up in MightyChat, Make fetches the user's data so you can send it wherever you work.

  1. 01

    Create the scenario

    Open the Scenarios page in Make, create a new scenario and click the big + to place the first module. That empty canvas is where the whole flow will live.

  2. 02

    Add Watch Conversations

    Search for MightyChat, pick Watch Conversations and choose the connection you created. On each scheduled run, this module picks up the conversations it finds and starts the rest of the flow.

  3. 03

    Chain Get User Data

    Click the + to the right of the trigger and add Get User Data. Map the conversation data it asks for from the bundle, the item passed from one module to the next. Make lists what the trigger returned.

  4. 04

    Test with Run once

    Click Run once. Make runs the scenario a single time and shows the bundles each module received. Open them: this is how you learn which user details MightyChat really returns.

  5. 05

    Schedule and switch on

    Click the clock on the first module to set the schedule, which is every 15 minutes by default, then switch the scenario on. From here, each run counts operations, one per module per bundle.

Triggers

What starts a MightyChat scenario

1 module starts a scenario when something happens in MightyChat. A scheduled trigger is checked by Make on the scenario's schedule; an instant one is called by MightyChat as soon as it happens.

MightyChat1Watch Conversations

Watch Conversations

triggerIn the docs only

Watch Conversations gives your scenario a starting point inside MightyChat: it collects conversations and passes each one on as its own bundle, so every chat can drive the rest of the flow.

How it fires
the docs give no type, and it is listed as scheduled based on its name. Confirm the clock badge on the module: with it, Make checks MightyChat on the scenario's schedule.
When to use it
any time a new chat should lead to a follow-up step, such as a contact lookup or a message to your team.
Watch out
on the Free plan, the shortest gap between two checks is 15 minutes, so plan for that delay.
Modules

What the MightyChat modules do

MightyChat gives you 2 modules. For each one: what it does for you, when to reach for it, and what to watch out for.

MightyChat1

Get User Data

ActionIn the docs only

Get User Data, as its name says, brings user data from MightyChat into your scenario, so the next modules can work with a person's details instead of a bare conversation.

When to use it
right after Watch Conversations, when you want to push the contact into a CRM or a sheet.
Watch out
the docs list no output fields, so click Run once and read the bundle before you map anything.
MightyChat2

Train a Chatbot

ActionIn the docs only

Train a Chatbot, going by its name, lets a scenario send training material to a MightyChat bot, so content your team keeps in another tool can reach the bot too.

When to use it
when an article, FAQ entry or product sheet changes in another app and the bot should learn it too.
Watch out
the docs describe none of its fields, so check the module form in Make and test on a single item first.
Need help

Need help automating MightyChat with Make?

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FAQ

MightyChat and Make: common questions

01Is the MightyChat Make integration free?
Yes, on the Make side. MightyChat is a standard app, so its 3 modules work on the Free plan. That plan allows 2 active scenarios, runs no more often than every 15 minutes, and caps each run at 5 minutes. Paid plans drop the interval to 1 minute and remove the limit on active scenarios. You still need an active MightyChat account, and its own subscription is set by MightyChat, not Make.
02What do you need to connect MightyChat to Make?
An active MightyChat account and its API key. Log in to MightyChat, open the Account section, click Generate if no key is showing, and copy it. In Make, add a MightyChat module, click Create a connection, give it a name if you like, and paste the key. That single connection then serves every MightyChat module you add to any scenario. Logically, if you regenerate the key in MightyChat, paste the new value into the connection in Make too.
03Does the MightyChat Make trigger fire instantly?
Most likely not. The docs give Watch Conversations no type, and it is listed as scheduled from its name, so check for the clock badge in the editor. If it has one, Make checks MightyChat on the scenario's schedule, which is every 15 minutes by default. On the Free plan, 15 minutes is also the shortest interval. Paid plans let you go down to 1 minute. If you need a faster reaction, a shorter schedule on a paid plan is the lever you have, since MightyChat offers no instant trigger in Make.
04What if a MightyChat module you need is missing in Make?
Then the MightyChat app alone will not cover it. It has 3 modules and no generic API call module, so Make cannot reach other MightyChat features through it. You can still combine these modules with other apps in the same scenario, or ask the Hack'celeration team to look at your case. Also check the MightyChat docs in Make, which note they may contain mistakes. Before you give up on an idea, test the existing modules with Run once and read what they return; the data may already be enough.
05Should you use Make or n8n for MightyChat?
It depends on what you already run. In Make, MightyChat offers 3 modules: Watch Conversations, Get User Data and Train a Chatbot, which you can test on the Free plan. The same app may also exist as an n8n node, so compare the actual modules on both sides for your use case. Pick the tool where your other automations already live, since keeping flows in one place makes them easier to maintain.