Integration
Connect OpenAI to Aurora Inbox
When something happens in OpenAI, your agent does the next thing in Aurora Inbox. Describe it and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want OpenAI and Aurora Inbox to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What OpenAI can start in Aurora Inbox
When New batch in OpenAI
then Add chat in Aurora Inbox
When New file in OpenAI
then Add company in Aurora Inbox
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 Aurora Inbox
Triggers and actions 5 triggers · 89 actions
Trigger
New batchList your organization's batches.
Trigger
New fileReturns a list of files.
Trigger
New modelLists the currently available models.
Trigger
New vector storeReturns a list of vector stores.
Trigger
New videoList recently generated videos for the current project.
Action
Cancel batchCancels an in-progress batch.
Action
Cancel runCancels a run that is in_progress.
Action
Cancel vector store file batchCancel a vector store file batch.
Action
Content moderationClassifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API.
Action
Count input tokensReturns input token counts of the request.
Action
Create assistantCreate an assistant with a model and instructions.
Action
Create chat completionSends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply.
Action
Create completionCreates a completion for the provided prompt and parameters.
Action
Create embeddingGenerates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small).
Action
Create messageCreate a message.
Action
Create runCreate a run.
Action
Creates and executes a batch from an uploaded file of requestsCreates and executes a batch from an uploaded file of requests
Action
Create threadCreate a thread.
Action
Create thread and runCreate a thread and run it in one request.
Action
Create vector storeCreate a vector store.
Action
Create vector store fileCreate a vector store file by attaching a File to a vector store.
Action
Create vector store file batchCreate a vector store file batch.
Action
Create video edit jobCreate a new video generation job by editing a source or existing generated video.
Action
Create video extensionCreate an extension of a completed video.
Action
Create video generation jobCreate a new video generation job from a prompt and optional reference assets.
Action
Create video remixCreate a remix of a completed video using a refreshed prompt.
Action
Delete assistantDelete an assistant.
Action
Delete eval runDelete an eval run.
Action
Delete fileDelete a file and remove it from all vector stores.
Action
Delete messageDeletes a message.
Action
Delete threadDelete a thread.
Action
Delete vector storeDelete a vector store.
Action
Delete vector store fileDelete a vector store file (removes from store, file itself not deleted).
Action
Delete videoPermanently delete a completed or failed video and its stored assets.
Action
Download video contentDownload the generated video bytes or a derived preview asset.
Action
Edit imageCreates an edited or extended image given one or more source images and a prompt.
Action
Generate imageGenerates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data.
Action
Generate speechConverts text into spoken audio using a TTS model and the selected voice. Returns audio bytes.
Action
Get assistantRetrieves an assistant.
Action
Get batchRetrieves a batch.
Action
Get fileReturns information about a specific file.
Action
Get file contentReturns the contents of the specified file.
Action
Get messageRetrieve a message.
Action
Get modelRetrieves a model instance.
Action
Get runRetrieves a run.
Action
Get run stepRetrieves a run step.
Action
Get threadRetrieves a thread.
Action
Get vector storeRetrieves a vector store.
Action
Get vector store fileRetrieves a vector store file.
Action
Get vector store file batchRetrieves a vector store file batch.
Action
Get vector store file contentRetrieve the parsed contents of a vector store file.
Action
Get videoFetch the latest metadata for a generated video.
Action
List conversation itemsList all items for a conversation with the given ID.
Action
List filesLists files that have been uploaded to your OpenAI account.
Action
List messagesReturns a list of messages for a given thread.
Action
List modelsLists the models currently available to your account.
Action
List runsReturns a list of runs belonging to a thread.
Action
List run stepsReturns a list of run steps belonging to a run.
Action
List vector store file batch filesReturns a list of vector store files in a batch.
Action
List vector store filesReturns a list of vector store files.
Action
OpenAI agent messageRuns 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 responseRetrieves a previously created model response by its Response ID.
Action
Search vector storeSearch a vector store for relevant chunks based on a query and filter.
Action
Send model a messageSends 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 runSubmit tool outputs when a run requires action.
Action
Transcribe audioTranscribes audio into the input language.
Action
Translate audioTranslates audio into English.
Action
Update assistantModifies an assistant.
Action
Update messageModifies a message.
Action
Update runModifies a run.
Action
Update threadModifies a thread.
Action
Update vector storeModifies a vector store.
Action
Update vector store file attributesUpdate attributes on a vector store file.
Action
Upload fileUpload a file that can be used across various endpoints.
Action
Add chatCreates a new chat conversation for a contact on a specific channel.
Action
Add companyAdds a new company.
Action
Add tagCreates a tag in Aurora Inbox that can be attached to any chat. If a tag with the same name already exists, that tag is returned.
Action
Create OpportunityCreate a new opportunity
Action
Delete contactDeletes a contact by its ID.
Action
Find chats by criteriaReturns up to 25 chats that match the specified search term, channel, team, unanswered and unread criteria.
Action
Get ChatReturns one chat by id: contact, channel, channel type, owner, agents and status flags.
Action
Get companyFetches a single company by id.
Action
Get contactFetches a single contact by id.
Action
Get or Create ContactFinds a contact by phone number, or creates one when no contact has that number. When a contact is found, any name, email, company name and custom property values you supply are applied to it.
Action
List Chat OpportunitiesReturns the opportunities (deals) attached to a chat.
Action
List Chat TagsReturns all tags currently attached to a chat: attachment id, roomId, tagId, tagName.
Action
List companiesLists companies in Aurora Inbox, optionally filtered by a keyword search.
Action
List tagsReturns all tags configured in the Aurora Inbox account, optionally with the number of chats tagged with each.
Action
List teamsReturns all teams configured in the Aurora Inbox account, including their members and roles.
Action
Send media messageSends a file (image, video, audio or document) to an Aurora Inbox chat, with an optional caption.
Action
Send messageSends a text message, or an internal note visible only to agents, to an Aurora Inbox chat.
Action
Tag chatAttaches a tag to a chat, either an existing tag or one looked up by name (created if no tag with that name exists). If the chat already has the tag, the existing attachment is returned.
Action
Update companyUpdates fields on an existing company.
Action
Update ContactUpdates an existing contact's name, phone, email, company name and custom property values. Blank fields keep their current values.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
OpenAI and Aurora Inbox, 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 Aurora Inbox when something happens in OpenAI?
Any of Aurora Inbox's 20 actions, including Create Opportunity, Send media message, Send message and Update company. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Aurora Inbox to OpenAI?
Aurora Inbox has no triggers in the catalog today, so automations start in OpenAI. If you need the other direction, ask: your agent reads Aurora Inbox's API documentation and adds it.
Do I have to build a connector for OpenAI or Aurora Inbox?
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.
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.