Integration
Connect Asana and OpenAI
When Completed task in project fires in Asana, your agent runs Send model a message in OpenAI, or New file in OpenAI to Create new task in Asana. Describe the whole flow 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 Asana and OpenAI to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.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)Connecting Asana and OpenAI lets task activity feed a model and bring the reply straight back to the work. A new or completed task in an Asana project can be sent to OpenAI for a summary or draft, and the result posted as a comment, a tag or a new task. Files and videos created in OpenAI can turn into Asana tasks or attachments for the right person.
Example flows
What Asana and OpenAI can do together
From Asana to OpenAI
When Completed task in project in Asana
then Send model a message in OpenAI
When New comment on task in Asana
then Create message in OpenAI
From OpenAI to Asana
When New file in OpenAI
then Create new task in Asana
When New video in OpenAI
then Add tag to task in Asana
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 Asana and OpenAI
Triggers and actions 15 triggers · 93 actions
Trigger
Completed task in projectTriggered when any task is completed in the selected project.
Trigger
New comment on taskTriggered when any new comment is made to the selected task.
Trigger
New or updated task in projectTriggered when any task is added or updated in the specified project in the specified workspace.
Trigger
New project in workspaceTriggered when a new project is added to the selected workspace.
Trigger
New story on taskTriggered when any new story is made to the selected task.
Trigger
New tag in workspaceTriggered when a new tag is added to the selected workspace.
Trigger
New task assigned to you in workspaceTriggered when a task is assigned to you in the selected workspace.
Trigger
New team in workspaceTriggered when a new team is added to the selected workspace.
Trigger
New userTriggered when a new user is created.
Trigger
New workspaceTriggered when a new workspace is created.
Action
Add attachmentUpload an attachment to a task.
Action
Add tag to taskAdds an existing tag to a task.
Action
Add task to sectionMoves a task into a section of a project.
Action
Associate task to projectAssociates a newly created task to a specified project in the specified workspace.
Action
Complete taskMarks a task as completed.
Action
Create new commentCreates a new comment on the specified task.
Action
Create new projectCreates a new project in the specified workspace.
Action
Create new taskCreates a new task in a workspace or project.
Action
Create section in projectCreates a new section within a project.
Action
Create subtaskCreates a subtask under an existing parent task.
Action
Delete commentDelete a comment (story) by gid.
Action
Delete projectDelete a project by gid.
Action
Delete taskPermanently deletes a task.
Action
Duplicate taskCreates a copy of an existing task.
Action
Find tasks in projectReturns the tasks belonging to a project.
Action
Get projectFetch a single project by its gid.
Action
Get task by IDReturns a single task's details by its ID.
Action
Get userFetch a single user by gid (or 'me').
Action
List attachmentsList attachments on a task.
Action
List projectsList projects in a workspace, optionally filtered by team.
Action
List usersList users in a workspace.
Action
Remove tag from taskRemoves a tag from a task.
Action
Update projectUpdate a project's fields (name, notes, due date, etc).
Action
Update taskUpdates an existing task's fields.
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.
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
Asana and OpenAI, answered
Can the model's reply land back on the same Asana task?
Yes. A solution can send the task details to OpenAI with Send model a message, then use Create new comment on the Asana task that started it, and follow with Add tag to task so reviewers can spot it.
How do you check the setup works before it runs on real tasks?
The agent builds the steps from your description and tests every scenario, including a task with the condition met and one without. You see what the Asana trigger sent, what OpenAI returned and which Asana actions ran.
What can start an automation from Asana?
Any of Asana's 10 triggers in the catalog, including Completed task in project, New comment on task, New or updated task in project and New project in workspace. Describe the moment in plain language and your agent picks the right one.
What can your agent do in OpenAI when something happens in Asana?
Any of OpenAI's 69 actions, including Content moderation, Create chat completion, Send model a message and Create assistant. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from OpenAI to Asana?
Yes. When something happens in OpenAI, your agent can act in Asana too. This page covers both directions: OpenAI's triggers and Asana's actions are listed here as well.
Do I have to build a connector for Asana or OpenAI?
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 Asana and OpenAI 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.