---
title: "Connect Help Scout to Optimizely - APIANT.ai"
description: "When \"New Conversation\" fires in Help Scout, your agent runs \"Add page\" in Optimizely."
canonical: "https://apiant.ai/connect/help-scout-to-optimizely"
---

# Connect Help Scout to Optimizely

When **New Conversation** fires in [Help Scout](https://apiant.ai/connections/help-scout), your agent runs **Add page** in [Optimizely](https://apiant.ai/connections/optimizely). Describe the whole flow and it is built, tested on every scenario and kept running.

Help Scout **4** triggers Help Scout **19** actions Optimizely **26** actions

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

## What do you want Help Scout and Optimizely 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 Help Scout can start in Optimizely

- When **New Conversation** in Help Scout then **Add page** in Optimizely
- When **New Customer** in Help Scout then **Add project** in Optimizely

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 Help Scout and Optimizely

## Triggers and actions 4 triggers · 45 actions

- Trigger

**New Conversation**

Polls for newly created conversations across mailboxes.

- Trigger

**New Customer**

Polls for newly created customers.

- Trigger

**New Mailbox**

Polls for newly created mailboxes.

- Trigger

**New User**

Polls for newly added users (team members).

- Action

**Add Customer Email**

Add an email address to a customer.

- Action

**Create Customer**

Create a new customer record.

- Action

**Create Note**

Add an internal note thread to a conversation.

- Action

**Create Thread (Reply)**

Add a reply thread to an existing conversation.

- Action

**Delete Conversation**

Delete a conversation by ID.

- Action

**Get Conversation**

Retrieve a single conversation by ID.

- Action

**Get Customer**

Retrieve a single customer by ID.

- Action

**Get Mailbox**

Retrieve a single mailbox by ID.

- Action

**Get User**

Retrieve a single user by ID.

- Action

**List Conversations**

List conversations, optionally filtered by mailbox, status, tag, or query.

- Action

**List Conversation Threads**

List all threads on a conversation.

- Action

**List Customers**

List customers, optionally filtered by email, mailbox, or query.

- Action

**List Mailboxes**

List all mailboxes in the account.

- Action

**List Mailbox Folders**

List the folders within a mailbox.

- Action

**List Tags**

List all tags in the account.

- Action

**List Users**

List all users (team members) in the account.

- Action

**Update Conversation**

Update a conversation's subject, status, mailbox, assignee, or owner via JSON Patch.

- Action

**Update Conversation Tags**

Replace the tags on a conversation.

- Action

**Update Customer**

Update a customer's profile fields.

- Action

**Add attribute**

Creates a new attribute in an Optimizely project, which can be used to target audiences.

- Action

**Add audience**

Adds a new audience to an Optimizely project and returns the id of the audience that was created.

- Action

**Add campaign**

Creates a new personalization campaign in an Optimizely project and returns its id.

- Action

**Add experiment**

Creates a new experiment in an Optimizely project and returns its id.

- Action

**Add feature**

Creates a new feature flag in an Optimizely project. Works only with legacy Full Stack projects, and returns the id of the new feature.

- Action

**Add page**

Creates a new page in an Optimizely project, defining the URL where experiments and campaigns can run and when it activates. Returns the created page.

- Action

**Add project**

Creates a new Optimizely project in your account and returns the created project.

- Action

**Delete experiment**

Archives an Optimizely experiment by its ID. Optimizely keeps archived experiments rather than permanently removing them.

- Action

**Get audience**

Returns a single Optimizely audience by its ID, including its name, targeting conditions and status. An error occurs if the audience is not found.

- Action

**Get campaign**

Returns a single Optimizely campaign by its ID, including its status, metrics, targeting and custom field values.

- Action

**Get experiment**

Returns a single experiment by its ID, including its status, variations, metrics and targeting. Fails if the experiment is not found.

- Action

**Get experiment results**

Returns the results of an Optimizely experiment, including metric performance per variation, reach and statistical significance, optionally limited to a time range or visitor segment.

- Action

**Get feature**

Returns a single feature by its ID, including its variables and its rollout rules in each environment. Works only with legacy Full Stack projects.

- Action

**Get project**

Returns all the properties of a single Optimizely project, including its platform, status and web snippet settings.

- Action

**List attributes**

Returns all attributes in an Optimizely project, including their keys, names and archived status.

- Action

**List audiences**

Returns the audiences in an Optimizely project, optionally filtered by archived or journey status.

- Action

**List campaigns**

Returns all campaigns in an Optimizely project, optionally narrowed by journey or archived status.

- Action

**List environments**

Returns all of the environments that have been created in an Optimizely project.

- Action

**List events**

Returns all events in an Optimizely project, including pageview events and, optionally, classic goals.

- Action

**List experiments**

Returns all experiments in an Optimizely project or campaign.

- Action

**List features**

Returns all features created in an Optimizely project, including their variables and per-environment rollout rules.

- Action

**List pages**

Returns the pages defined in an Optimizely project, optionally including single-use pages generated for campaign URL targeting.

- Action

**List projects**

Returns all the projects in your Optimizely account, with their settings and status.

- Action

**Update campaign**

Updates an existing Optimizely campaign's details, targeting and metrics, and can publish, start, pause, resume or unarchive it. Returns the updated campaign.

- Action

**Update experiment**

Updates an Optimizely experiment's settings, such as its name, audiences, metrics, variations and schedule, and can optionally publish, start, pause, resume or unarchive it. Returns the updated experiment.

- Action

**Update feature**

Updates an existing feature's name, key, description, variables, environment rollout rules or archived state, and returns the updated feature.

## Each app on its own

- [ **Help Scout** Help Scout is a help desk and shared inbox platform for customer support teams.](https://apiant.ai/connections/help-scout)
- [ **Optimizely** The Optimizely platform technology provides A/B testing tools, in which two versions of a web page can be...](https://apiant.ai/connections/optimizely)

Reviews

## What our customers say

## More from Help Scout

- [ **Help Scout to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/help-scout-to-hubspot)
- [ **Help Scout to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/help-scout-to-stripe)
- [ **Help Scout to JIRA** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/help-scout-to-jira)
- [ **Help Scout to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/help-scout-to-zoom)
- [ **Help Scout to SendGrid** SendGrid by Twilio — email delivery and marketing platform.](https://apiant.ai/connect/help-scout-to-sendgrid)
- [ **Help Scout to Klaviyo** Klaviyo is a marketing automation platform for email and SMS.](https://apiant.ai/connect/help-scout-to-klaviyo)

## More into Optimizely

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

Questions

## Help Scout and Optimizely, answered

###

### What can start an automation from Help Scout?

Any of Help Scout's 4 triggers in the catalog, including New Conversation, New Customer, New Mailbox and New User. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Optimizely when something happens in Help Scout?

Any of Optimizely's 26 actions, including Update campaign, Update experiment, Update feature and Add attribute. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Optimizely to Help Scout?

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

###

### Do I have to build a connector for Help Scout or Optimizely?

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 Help Scout and Optimizely 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.
