---
title: "Connect MOCO to Optimizely - APIANT.ai"
description: "When \"New Client\" fires in MOCO, your agent runs \"Add page\" in Optimizely. Describe the whole flow and it is built, tested on every scenario and kept running."
canonical: "https://apiant.ai/connect/moco-to-optimizely"
---

# Connect MOCO to Optimizely

When **New Client** fires in [MOCO](https://apiant.ai/connections/moco), 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.

MOCO **26** triggers MOCO **24** 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 MOCO 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 MOCO can start in Optimizely

- When **New Client** in MOCO then **Add page** in Optimizely
- When **New Company** in MOCO 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 MOCO and Optimizely

## Triggers and actions 26 triggers · 50 actions

- Trigger

**New Client**

Triggers when a new client is created.

- Trigger

**New Company**

Triggers when a new company is created.

- Trigger

**New Expense**

Triggers when an expense is created.

- Trigger

**New Exported Invoice (Bookkeeping)**

Triggers when a new invoice is exported (for the bookkeeping).

- Trigger

**New Incoming Payment**

Triggers when a new incoming payment is created.

- Trigger

**New Invoice**

Triggers when a new invoice is created.

- Trigger

**New Invoice Status**

Triggers when the status of an invoice is changed.

- Trigger

**New Offer**

Triggers when a new offer is created.

- Trigger

**New Outgoing Payment**

Triggers when a new outgoing payment is created.

- Trigger

**New Planning Entry**

Triggers when a new Planning Entry is created.

- Trigger

**New Presence**

Triggers when a new Presence is created.

- Trigger

**New Project Assignment**

Triggers when a person is assigned to a project.

- Trigger

**New Purchase**

Triggers when a new purchase is created.

- Trigger

**New Recurred Expense**

Triggers when an expense is recurred.

- Trigger

**New Task**

Triggers when a new task is created.

- Trigger

**New Time Entry**

Triggers when a new time entry is created.

- Trigger

**Unarchived Project**

Triggers when a project is made active again.

- Trigger

**Updated Company**

Triggers when a company was updated.

- Trigger

**Updated Expense**

Triggers when an expense was updated.

- Trigger

**Updated Invoice**

Triggers when an invoice was updated.

- Trigger

**Updated Lead**

Triggers when a lead was updated.

- Trigger

**Updated Planning Entry**

Triggers when a Planning Entry was updated.

- Trigger

**Updated Presence**

Triggers when a Presence was updated.

- Trigger

**Updated Project**

Triggers when a project was updated.

- Trigger

**Updated Purchase**

Triggers when a purchase was updated.

- Trigger

**Updated Time Entry**

Triggers when a time entry was updated.

- Action

**Create Comment**

Creates a new Comment.

- Action

**Create Company**

Creates a new company (customer only).

- Action

**Create Contact**

Creates a new contact person.

- Action

**Create Expense**

Creates a new Expense.

- Action

**Create Incoming Payment**

Creates a new incoming payment.

- Action

**Create Lead**

Creates a new lead.

- Action

**Create Outgoing Payment**

Creates a new outgoing payment.

- Action

**Create Project**

Creates a new Project.

- Action

**Create Purchase**

Creates a new Purchase.

- Action

**Create Task**

Creates a new project task.

- Action

**Create Time Entry**

Create a new time entry.

- Action

**Find Company**

Finds an existing Company.

- Action

**Find Contact**

Finds an existing Contact.

- Action

**Find Expense**

Finds an existing Expense.

- Action

**Find Invoice**

Finds an existing Invoice.

- Action

**Find Lead**

Finds an existing lead.

- Action

**Find Offer**

Finds an existing Offer.

- Action

**Find Planning Entry**

Finds an existing Planning Entry.

- Action

**Find Project**

Finds an existing project.

- Action

**Find Purchase**

Finds an existing Purchase.

- Action

**Find Task**

Finds an active Task for a Project.

- Action

**Find Time Entry**

Finds an existing Time Entry.

- Action

**Find User**

Finds an existing active user.

- Action

**Record Presence**

Record a new presence.

- 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

- [ **MOCO** MOCO (MObile COmpany) is a lean cloud software made for small medium-sized agency and service businesses.](https://apiant.ai/connections/moco)
- [ **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 MOCO

- [ **MOCO to ip-api** ip-api resolves an IP address or domain name to a physical location.](https://apiant.ai/connect/moco-to-ip-api)
- [ **MOCO to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/moco-to-salesforce)
- [ **MOCO to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/moco-to-slack)
- [ **MOCO to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/moco-to-stripe)
- [ **MOCO to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/moco-to-shopify)
- [ **MOCO to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/moco-to-quickbooks-online)

## 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

## MOCO and Optimizely, answered

###

### What can start an automation from MOCO?

Any of MOCO's 26 triggers in the catalog, including New Client, New Company, New Expense and New Exported Invoice (Bookkeeping). Describe the moment in plain language and your agent picks the right one.

###

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

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 MOCO?

Optimizely has no triggers in the catalog today, so automations start in MOCO. 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 MOCO 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 MOCO 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.
