--- title: "Connect OpenAI to Optimizely - APIANT.ai" description: "When \"New batch\" fires in OpenAI, 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/openai-to-optimizely" --- # Connect OpenAI to Optimizely When **New batch** fires in [OpenAI](https://apiant.ai/connections/openai), 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. OpenAI **5** triggers OpenAI **69** 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 OpenAI 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 OpenAI can start in Optimizely - When **New batch** in OpenAI then **Add page** in Optimizely - When **New file** in OpenAI 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 OpenAI and Optimizely ## Triggers and actions 5 triggers · 95 actions - Trigger **New batch** List your organization's batches. - Trigger **New file** Returns a list of files. - Trigger **New model** Lists the currently available models. - Trigger **New vector store** Returns a list of vector stores. - Trigger **New video** List recently generated videos for the current project. - Action **Cancel batch** Cancels an in-progress batch. - Action **Cancel run** Cancels a run that is in_progress. - Action **Cancel vector store file batch** Cancel a vector store file batch. - Action **Content moderation** Classifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API. - Action **Count input tokens** Returns input token counts of the request. - Action **Create assistant** Create an assistant with a model and instructions. - Action **Create chat completion** Sends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply. - Action **Create completion** Creates a completion for the provided prompt and parameters. - Action **Create embedding** Generates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small). - Action **Create message** Create a message. - Action **Create run** Create a run. - Action **Creates and executes a batch from an uploaded file of requests** Creates and executes a batch from an uploaded file of requests - Action **Create thread** Create a thread. - Action **Create thread and run** Create a thread and run it in one request. - Action **Create vector store** Create a vector store. - Action **Create vector store file** Create a vector store file by attaching a File to a vector store. - Action **Create vector store file batch** Create a vector store file batch. - Action **Create video edit job** Create a new video generation job by editing a source or existing generated video. - Action **Create video extension** Create an extension of a completed video. - Action **Create video generation job** Create a new video generation job from a prompt and optional reference assets. - Action **Create video remix** Create a remix of a completed video using a refreshed prompt. - Action **Delete assistant** Delete an assistant. - Action **Delete eval run** Delete an eval run. - Action **Delete file** Delete a file and remove it from all vector stores. - Action **Delete message** Deletes a message. - Action **Delete thread** Delete a thread. - Action **Delete vector store** Delete a vector store. - Action **Delete vector store file** Delete a vector store file (removes from store, file itself not deleted). - Action **Delete video** Permanently delete a completed or failed video and its stored assets. - Action **Download video content** Download the generated video bytes or a derived preview asset. - Action **Edit image** Creates an edited or extended image given one or more source images and a prompt. - Action **Generate image** Generates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data. - Action **Generate speech** Converts text into spoken audio using a TTS model and the selected voice. Returns audio bytes. - Action **Get assistant** Retrieves an assistant. - Action **Get batch** Retrieves a batch. - Action **Get file** Returns information about a specific file. - Action **Get file content** Returns the contents of the specified file. - Action **Get message** Retrieve a message. - Action **Get model** Retrieves a model instance. - Action **Get run** Retrieves a run. - Action **Get run step** Retrieves a run step. - Action **Get thread** Retrieves a thread. - Action **Get vector store** Retrieves a vector store. - Action **Get vector store file** Retrieves a vector store file. - Action **Get vector store file batch** Retrieves a vector store file batch. - Action **Get vector store file content** Retrieve the parsed contents of a vector store file. - Action **Get video** Fetch the latest metadata for a generated video. - Action **List conversation items** List all items for a conversation with the given ID. - Action **List files** Lists files that have been uploaded to your OpenAI account. - Action **List messages** Returns a list of messages for a given thread. - Action **List models** Lists the models currently available to your account. - Action **List runs** Returns a list of runs belonging to a thread. - Action **List run steps** Returns a list of run steps belonging to a run. - Action **List vector store file batch files** Returns a list of vector store files in a batch. - Action **List vector store files** Returns a list of vector store files. - Action **OpenAI agent message** Runs one AI agent turn on OpenAI and returns the model's reply. The turn is billed to the OpenAI account connected on this step, and the agent can call the account's AI tool automations. - Action **Retrieve response** Retrieves a previously created model response by its Response ID. - Action **Search vector store** Search a vector store for relevant chunks based on a query and filter. - Action **Send model a message** Sends a message to an OpenAI model via the Responses API and emits its response. Returns a Response ID usable as previous_response_id for multi-turn conversations. - Action **Submit tool outputs to run** Submit tool outputs when a run requires action. - Action **Transcribe audio** Transcribes audio into the input language. - Action **Translate audio** Translates audio into English. - Action **Update assistant** Modifies an assistant. - Action **Update message** Modifies a message. - Action **Update run** Modifies a run. - Action **Update thread** Modifies a thread. - Action **Update vector store** Modifies a vector store. - Action **Update vector store file attributes** Update attributes on a vector store file. - Action **Upload file** Upload a file that can be used across various endpoints. - 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 - [ **OpenAI** OpenAI's platform for text generation (Responses + Chat Completions), image generation (gpt-image-1 /...](https://apiant.ai/connections/openai) - [ **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 OpenAI - [ **OpenAI to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/openai-to-hubspot) - [ **OpenAI to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/openai-to-salesforce) - [ **OpenAI to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/openai-to-slack) - [ **OpenAI to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/openai-to-stripe) - [ **OpenAI to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/openai-to-quickbooks-online) - [ **OpenAI to Pipedrive** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/openai-to-pipedrive) ## 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 ## OpenAI and Optimizely, answered ### ### What can start an automation from OpenAI? Any of OpenAI's 5 triggers in the catalog, including New batch, New file, New model and New vector store. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Optimizely when something happens in OpenAI? 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 OpenAI? Optimizely has no triggers in the catalog today, so automations start in OpenAI. 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 OpenAI 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 OpenAI 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.