---
title: "Connect Metaview to Landbot - APIANT.ai"
description: "When \"New Conversation\" fires in Metaview, your agent runs \"Send text message\" in Landbot."
canonical: "https://apiant.ai/connect/metaview-to-landbot"
---

# Connect Metaview to Landbot

When **New Conversation** fires in [Metaview](https://apiant.ai/connections/metaview), 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.

Metaview **1** trigger Metaview **31** 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 Metaview 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 Metaview can start in Landbot

- When **New Conversation** in Metaview then **Send text message** in Landbot
- When **New Conversation** in Metaview 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 Metaview and Landbot

## Triggers and actions 1 trigger · 46 actions

- Trigger

**New Conversation**

Triggers when a new conversation is available in Metaview.

- Action

**Build chart**

Creates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment.

- Action

**Check enrichment status**

Returns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type.

- Action

**Create AI field**

Creates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type.

- Action

**Create report**

Builds a report from conversations with filtering, metrics, grouping, and custom field inclusion.

- Action

**Fetch candidates**

Looks up candidate information by ID, LinkedIn URL, email, or phone number in bulk.

- Action

**Find candidate's sequences**

Finds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone.

- Action

**Get note template**

Returns a note generation template by ID for use in automating note creation.

- Action

**Get search details**

Retrieves configuration and results for a sourcing search by ID.

- Action

**Get sourcing analytics**

Returns sourcing analytics and metrics grouped by user, search, or date range with filtering options.

- Action

**Get sourcing messages**

Lists outreach messages sent in a sourcing search with pagination support.

- Action

**Get User Context**

Returns information about the connected user account and available features.

- Action

**Give sourcing feedback**

Submits feedback on candidates from a sourcing search, optionally linking to the search that sourced them.

- Action

**Group conversations**

Groups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group.

- Action

**List application reviews**

Returns a list of application reviews, optionally filtering by name or showing only active ones.

- Action

**List ATS jobs**

Returns ATS job postings, optionally filtered by job title.

- Action

**List ATS stages**

Returns hiring pipeline stages for a job, or workspace-level stages if no job is specified.

- Action

**List available fields**

Returns available data fields for reports, optionally filtered by name.

- Action

**List candidates in sequence**

Returns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details.

- Action

**List field values**

Returns distinct values for a field across conversations, useful for building filters or dropdowns.

- Action

**List mailboxes**

Returns email mailboxes available in this Metaview workspace.

- Action

**List note template folders**

Returns folders of note templates organized in the workspace.

- Action

**List note templates**

Returns note templates available in the workspace, optionally filtered by name or with full section details.

- Action

**List sequences**

Returns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested.

- Action

**List sourcing candidates**

Returns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level.

- Action

**List sourcing searches**

Returns all sourcing searches with optional pagination.

- Action

**Manage candidate sequence**

Adds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence.

- Action

**Manage note template**

Creates, updates, or deletes call note templates with customizable sections for structured note-taking.

- Action

**Manage sequence**

Creates, updates, duplicates, or deletes recruitment sequences.

- Action

**Search conversations**

Searches call conversations with optional filtering, sorting, and field selection.

- Action

**Search reports**

Searches reports by name, category, or ID with optional full configuration details.

- Action

**Send sourcing message**

Starts or continues a sourcing or research search with a message to the AI agent.

- 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

- [ **Metaview** Metaview writes your recruiting notes for you so you can save time and focus on high-quality interactions...](https://apiant.ai/connections/metaview)
- [ **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 Metaview

- [ **Metaview to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/metaview-to-salesforce)
- [ **Metaview to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/metaview-to-slack)
- [ **Metaview to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/metaview-to-google-calendar)
- [ **Metaview to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/metaview-to-stripe)
- [ **Metaview to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/metaview-to-shopify)
- [ **Metaview to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/metaview-to-quickbooks-online)

## 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

## Metaview and Landbot, answered

###

### What can start an automation from Metaview?

Any of Metaview's 1 trigger in the catalog, including New Conversation. Describe the moment in plain language and your agent picks the right one.

###

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

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 Metaview?

Landbot has no triggers in the catalog today, so automations start in Metaview. 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 Metaview 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 Metaview 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.
