---
title: "Connect Pipefile to Landbot - APIANT.ai"
description: "When \"File Request Created\" fires in Pipefile, your agent runs \"Send text message\" in Landbot."
canonical: "https://apiant.ai/connect/pipefile-to-landbot"
---

# Connect Pipefile to Landbot

When **File Request Created** fires in [Pipefile](https://apiant.ai/connections/pipefile), your agent runs **Send text message** in [Landbot](https://apiant.ai/connections/landbot). Describe the whole flow and it is built, tested on every scenario and kept running.

Pipefile **1** trigger Pipefile **10** actions Landbot **15** actions

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

## What do you want Pipefile and Landbot 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 Pipefile can start in Landbot

- When **File Request Created** in Pipefile then **Send text message** in Landbot
- When **File Request Created** in Pipefile then **Update customer field** in Landbot

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 Pipefile and Landbot

## Triggers and actions 1 trigger · 25 actions

- Trigger

**File Request Created**

Triggers when a file request is created.

- Action

**Add File Request From Template**

Create a new file request from an existing template for one recipient (name/email/phone), optionally on behalf of a team member via X-Pipefile-On-Behalf-Of.

- Action

**Create Contact**

Add to contacts

- Action

**Delete Contact**

Delete a contact by id. Returns 204 No Content on success.

- Action

**Get Contact**

Retrieve one contact by id.

- Action

**Get File Request**

Retrieve detailed information about one file request by id, including contents, items, files, and tracking events.

- Action

**List Contacts**

Retrieve a paginated list of contacts, filterable by name/email/phone partial match.

- Action

**List File Request Templates**

Retrieve the list of file request templates available for creating new file requests, with optional name search.

- Action

**Search File Requests**

Finds all file requests matching this search query (contact name, email, tags, etc).

- Action

**Send Request**

Create and send a new request

- Action

**Update Contact**

Update name/email/phone of an existing contact by id.

- Action

**Archive customer**

Archives a Landbot customer so their conversation moves out of the active inbox.

- Action

**Assign customer to agent**

Assigns a Landbot customer conversation to a specific agent.

- Action

**Assign customer to bot**

Assigns a Landbot customer to a bot, optionally starting the bot right away or from a specific node.

- Action

**Delete customer**

Deletes a Landbot customer.

- Action

**Find customers by name, email or phone**

Finds customers whose name, email or phone starts with the text you give. Returns up to 100 matching customers.

- Action

**Get channel**

Returns a Landbot channel's details, including its name, type, active status and appearance settings.

- Action

**Get customer**

Returns a Landbot customer's profile, including name, channel, assigned agent, archive status and custom field values.

- Action

**Get customer field**

Returns the name, type and current value of one custom field stored on a Landbot customer.

- Action

**List channels**

Returns the channels in your Landbot workspace, optionally filtered by type and active status.

- Action

**List customer messages**

Returns the full conversation transcript for a Landbot customer — every message exchanged with them.

- Action

**List customers**

Returns the customers in your Landbot workspace, optionally filtered by channel, assigned agent, archive or WhatsApp opt-in status, or a name/email/phone prefix.

- Action

**List WhatsApp templates**

Returns the WhatsApp message templates available to send to customers, optionally limited to one channel.

- Action

**Send text message**

Sends a text message to a Landbot customer on their channel.

- Action

**Send WhatsApp template**

Sends an approved WhatsApp template message to a Landbot customer, filling in its placeholders. Use it to reach a customer outside WhatsApp's 24-hour messaging window.

- Action

**Update customer field**

Changes the value of an existing custom field on a Landbot customer. The field must already exist on the customer.

## Each app on its own

- [ **Pipefile** Pipefile streamlines the collection of personal, financial, and otherwise sensitive documents to keep your...](https://apiant.ai/connections/pipefile)
- [ **Landbot** Landbot is a tool to create Conversational Experiences that live on a website.](https://apiant.ai/connections/landbot)

Reviews

## What our customers say

## More from Pipefile

- [ **Pipefile to Channels** Channels is a data-driven phone system that lets you make and take calls directly in the browser.](https://apiant.ai/connect/pipefile-to-channels)
- [ **Pipefile to Cleanvoice** API that removes filler words, silences, background noise, and mouth sounds from audio and video recordings.](https://apiant.ai/connect/pipefile-to-cleanvoice)
- [ **Pipefile to DeBounce** DeBounce is an email verification service that allows you to validate your email addresses and remove...](https://apiant.ai/connect/pipefile-to-debounce)
- [ **Pipefile to Disify** Disify checks email addresses for disposable and temporary providers.](https://apiant.ai/connect/pipefile-to-disify)
- [ **Pipefile to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/pipefile-to-salesforce)
- [ **Pipefile to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/pipefile-to-slack)

## More into Landbot

- [ **HubSpot to Landbot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-landbot)
- [ **Salesforce to Landbot** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-landbot)
- [ **Slack to Landbot** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-landbot)
- [ **Google Sheets to Landbot** Google Sheets](https://apiant.ai/connect/google-sheets-to-landbot)
- [ **Gmail to Landbot** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-landbot)
- [ **Google Calendar to Landbot** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-landbot)

Questions

## Pipefile and Landbot, answered

###

### What can start an automation from Pipefile?

Any of Pipefile's 1 trigger in the catalog, including File Request Created. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Landbot when something happens in Pipefile?

Any of Landbot's 15 actions, including Send text message, Send WhatsApp template, Update customer field and Assign customer to agent. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Landbot to Pipefile?

Landbot has no triggers in the catalog today, so automations start in Pipefile. If you need the other direction, ask: your agent reads Landbot's API documentation and adds it.

###

### Do I have to build a connector for Pipefile or Landbot?

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 Pipefile and Landbot 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.
