Integration
Connect OpenAI and Teamwork
When New batch fires in OpenAI, your agent runs Add Message in Teamwork, or New Project in Teamwork to Send model a message in OpenAI. 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 OpenAI and Teamwork 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)Teamwork holds the projects, task lists, milestones and time entries; OpenAI handles the drafting, summarising, moderation and generated media. Connecting them lets a new Teamwork project or task reach an OpenAI model, and lets OpenAI output land back as tasks, messages or task lists in the right Teamwork project. The agent builds it, tests every scenario and keeps it running.
Example flows
What OpenAI and Teamwork can do together
From OpenAI to Teamwork
When New batch in OpenAI
then Add Message in Teamwork
From Teamwork to OpenAI
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 Teamwork
Triggers and actions 11 triggers · 91 actions
- New batch
List your organization's batches.
- New file
Returns a list of files.
- New model
Lists the currently available models.
- New vector store
Returns a list of vector stores.
- New video
List recently generated videos for the current project.
- Cancel batch
Cancels an in-progress batch.
- Cancel run
Cancels a run that is in_progress.
- Cancel vector store file batch
Cancel a vector store file batch.
- Content moderation
Classifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API.
- Count input tokens
Returns input token counts of the request.
- Create assistant
Create an assistant with a model and instructions.
- Create chat completion
Sends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply.
- Create completion
Creates a completion for the provided prompt and parameters.
- Create embedding
Generates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small).
- Create message
Create a message.
- Create run
Create a run.
- Creates and executes a batch from an uploaded file of requests
Creates and executes a batch from an uploaded file of requests
- Create thread
Create a thread.
- Create thread and run
Create a thread and run it in one request.
- Create vector store
Create a vector store.
- Create vector store file
Create a vector store file by attaching a File to a vector store.
- Create vector store file batch
Create a vector store file batch.
- Create video edit job
Create a new video generation job by editing a source or existing generated video.
- Create video extension
Create an extension of a completed video.
- Create video generation job
Create a new video generation job from a prompt and optional reference assets.
- Create video remix
Create a remix of a completed video using a refreshed prompt.
- Delete assistant
Delete an assistant.
- Delete eval run
Delete an eval run.
- Delete file
Delete a file and remove it from all vector stores.
- Delete message
Deletes a message.
- Delete thread
Delete a thread.
- Delete vector store
Delete a vector store.
- Delete vector store file
Delete a vector store file (removes from store, file itself not deleted).
- Delete video
Permanently delete a completed or failed video and its stored assets.
- Download video content
Download the generated video bytes or a derived preview asset.
- Edit image
Creates an edited or extended image given one or more source images and a prompt.
- Generate image
Generates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data.
- Generate speech
Converts text into spoken audio using a TTS model and the selected voice. Returns audio bytes.
- Get assistant
Retrieves an assistant.
- Get batch
Retrieves a batch.
- Get file
Returns information about a specific file.
- Get file content
Returns the contents of the specified file.
- Get message
Retrieve a message.
- Get model
Retrieves a model instance.
- Get run
Retrieves a run.
- Get run step
Retrieves a run step.
- Get thread
Retrieves a thread.
- Get vector store
Retrieves a vector store.
- Get vector store file
Retrieves a vector store file.
- Get vector store file batch
Retrieves a vector store file batch.
- Get vector store file content
Retrieve the parsed contents of a vector store file.
- Get video
Fetch the latest metadata for a generated video.
- List conversation items
List all items for a conversation with the given ID.
- List files
Lists files that have been uploaded to your OpenAI account.
- List messages
Returns a list of messages for a given thread.
- List models
Lists the models currently available to your account.
- List runs
Returns a list of runs belonging to a thread.
- List run steps
Returns a list of run steps belonging to a run.
- List vector store file batch files
Returns a list of vector store files in a batch.
- List vector store files
Returns a list of vector store files.
- 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.
- Retrieve response
Retrieves a previously created model response by its Response ID.
- Search vector store
Search a vector store for relevant chunks based on a query and filter.
- 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.
- Submit tool outputs to run
Submit tool outputs when a run requires action.
- Transcribe audio
Transcribes audio into the input language.
- Translate audio
Translates audio into English.
- Update assistant
Modifies an assistant.
- Update message
Modifies a message.
- Update run
Modifies a run.
- Update thread
Modifies a thread.
- Update vector store
Modifies a vector store.
- Update vector store file attributes
Update attributes on a vector store file.
- Upload file
Upload a file that can be used across various endpoints.
- New Company
Triggered when a new company is added.
- New Milestone
Triggered when a new milestone is added.
- New Person
Triggered when a new person is added.
- New Project
Triggered when a new project is added.
- New Task
Triggered when a new task is added.
- New Time Entry
Triggered when a new time entry is added.
- Add Company
Creates a new company.
- Add Message
Adds a message to the specified project.
- Add Milestone
Adds a new milestone to the specified project.
- Add Time Entry
Logs a time entry against the specified task.
- Complete Task
Marks a task as complete.
- Create Project
Adds a new project.
- Create Task
Adds a new task to the specified task list.
- Create Task List
Creates a new task list in the specified project.
- Delete Project
Deletes a project by ID.
- Delete Task
Deletes a task by ID.
- Get Project
Returns a single project by ID.
- Get Task
Returns a single task by ID.
- List Companies
Returns all companies on the site.
- List Milestones
Returns all milestones on the site.
- List People
Returns all people on the site.
- List Projects
Returns all projects on the Teamwork site.
- List Task Lists
Returns all task lists in the specified project.
- List Tasks
Returns all tasks across the site.
- List Tasks in Project
Returns all tasks in the specified project.
- List Time Entries
Returns time entries across the site.
- Update Project
Updates an existing project.
- Update Task
Updates an existing task.
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 Teamwork, answered
Can OpenAI output be turned into real Teamwork work items?
Yes. A reply from actions like Send model a message or Create chat completion can feed Teamwork's Create Task, Create Task List or Add Message, so the text lands in the project you choose. You decide which project and task list it goes to.
What can start a run on the OpenAI side?
OpenAI triggers cover new batches, files, models, vector stores and videos, so any of those can start work in Teamwork. For Teamwork-first runs, a new project, task, milestone, person, company or time entry can send text to OpenAI.
What can start an automation from OpenAI?
Any of OpenAI's 5 triggers in the catalog, including New batch, New video, New file and New model. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Teamwork when something happens in OpenAI?
Any of Teamwork's 22 actions, including Add Message, Create Task, Create Project and Create Task List. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Teamwork to OpenAI?
Yes. When something happens in Teamwork, your agent can act in OpenAI too. This page covers both directions: Teamwork's triggers and OpenAI's actions are listed here as well.
Do I have to build a connector for OpenAI or Teamwork?
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 Teamwork 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.