---
title: "Connect Wachete and MRPLN - APIANT.ai"
description: "When \"New notification for monitor\" fires in Wachete, your agent runs \"Create Customer\" in MRPLN."
canonical: "https://apiant.ai/connect/wachete-to-mrpln"
---

# Connect Wachete and MRPLN

When **New notification for monitor** fires in [Wachete](https://apiant.ai/connections/wachete), your agent runs **Create Customer** in [MRPLN](https://apiant.ai/connections/mrpln), or **Customer Updated (instant)** in MRPLN to **Create monitor** in Wachete. Describe the whole flow and it is built, tested on every scenario and kept running.

Wachete **2** triggers Wachete **7** actions MRPLN **6** triggers MRPLN **8** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Wachete and MRPLN to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What Wachete and MRPLN can do together

### From Wachete to MRPLN

- When **New notification for monitor** in Wachete then **Create Customer** in MRPLN
- When **Any new notification** in Wachete then **Send Message to Customer** in MRPLN

### From MRPLN to Wachete

- When **Customer Updated (instant)** in MRPLN then **Create monitor** in Wachete
- When **New Customer** in MRPLN then **Update monitor** in Wachete

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 Wachete and MRPLN

## Triggers and actions 8 triggers · 15 actions

- Trigger

**Any new notification**

Fires when there is a new change notification from any monitor in your Wachete account.

- Trigger

**New notification for monitor**

Fires when there is a new change notification from the specified Wachete monitor (taskId).

- Action

**Create monitor**

Create a new Wachete monitor (wachet) that watches a web page or part of a page for changes.

- Action

**Delete monitor**

Delete a Wachete monitor by its ID.

- Action

**Get monitor**

Get information about a specific Wachete monitor by its ID.

- Action

**Get monitor data**

Get the captured data/history for a Wachete monitor, optionally as a diff and within a date range.

- Action

**List folders**

List folder contents, optionally under a parent folder.

- Action

**List notifications**

List change notifications, optionally filtered by monitor (taskId) and date range.

- Action

**Update monitor**

Change the settings of an existing Wachete monitor — name, URL, watched/excluded XPath, regex, note, job type, check frequency and location, crawl options, folder, alerts, notification endpoints, headers and proxies. A partial update: the op first reads the monitor's current record, overlays only the fields you filled in, then writes the merged record back, so anything you leave blank keeps its current value — including settings this op does not expose. Identify the monitor by its id. Check frequency is in seconds (86400 = daily) and is ignored if not positive; the true/false options take the words true or false; alerts, notification endpoints, headers and proxies take JSON. Returns the monitor id, name and URL after the update plus the full monitor record.

- Trigger

**Campaign Launched (instant)**

Fires instantly when a campaign is launched (campaign.launched).

- Trigger

**Customer Opted Out (instant)**

Fires instantly when a customer opts out (customer.opted_out).

- Trigger

**Customer Updated (instant)**

Triggers instantly when a customer is updated in MRPLN.

- Trigger

**Message Sent (instant)**

Fires instantly when a message is queued or scheduled for a customer (message.sent).

- Trigger

**New Customer**

Triggers when a new customer is added.

- Trigger

**New Customer (instant)**

Triggers instantly when a customer is created in MRPLN.

- Action

**Create Customer**

Creates a new customer in MRPLN.

- Action

**Find Customer**

Finds a customer by email address. Returns the first matching customer, or found=false when none match.

- Action

**Find Customer by Phone**

Find a customer by their SMS phone number.

- Action

**Find Customer by WhatsApp**

Find a customer by their WhatsApp number.

- Action

**List Templates**

List the approved message templates for a channel.

- Action

**Send Message to Customer**

Send an email, SMS, or WhatsApp message to a customer using an approved template

- Action

**Trigger Campaign**

Launch a campaign that was built in MRPLN.

- Action

**Update Customer**

Updates an existing customer in MRPLN.

## Each app on its own

- [ **Wachete** Wachete monitors web pages (or parts of pages) for changes and notifies you when the text changes or...](https://apiant.ai/connections/wachete)
- [ **MRPLN** MRPLN is a Mar-Tech SaaS platform for Marketing planning, Automation and Insights powered by AI.](https://apiant.ai/connections/mrpln)

Reviews

## What our customers say

## More from Wachete

- [ **Wachete to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/wachete-to-salesforce)
- [ **Wachete to ActiveCampaign** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/wachete-to-activecampaign)
- [ **Wachete to JIRA** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/wachete-to-jira)
- [ **Wachete to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/wachete-to-zoom)
- [ **Wachete to Webflow** Webflow is a professional website builder and CMS for designing, building, and launching responsive...](https://apiant.ai/connect/wachete-to-webflow)
- [ **Wachete to Anthropic** Anthropic builds Claude, a family of large language models.](https://apiant.ai/connect/wachete-to-anthropic)

## More into MRPLN

- [ **HubSpot to MRPLN** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-mrpln)
- [ **Ontraport to MRPLN** Ontraport is an all-in-one CRM, marketing automation, and e-commerce platform.](https://apiant.ai/connect/ontraport-to-mrpln)
- [ **Salesforce to MRPLN** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-mrpln)
- [ **Slack to MRPLN** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-mrpln)
- [ **Google Sheets to MRPLN** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-mrpln)
- [ **Gmail to MRPLN** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-mrpln)

Questions

## Wachete and MRPLN, answered

###

### What can start an automation from Wachete?

Any of Wachete's 2 triggers in the catalog, including New notification for monitor and Any new notification. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in MRPLN when something happens in Wachete?

Any of MRPLN's 8 actions, including Create Customer, Send Message to Customer, Update Customer and Find Customer. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from MRPLN to Wachete?

Yes. When something happens in MRPLN, your agent can act in Wachete too. This page covers both directions: MRPLN's triggers and Wachete's actions are listed here as well.

###

### Do I have to build a connector for Wachete or MRPLN?

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 Wachete and MRPLN 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.
