Build solutions, not workarounds.
What do you want OpenAI and Teambook 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 Teambook
When New batch in OpenAI
then Add Actual log in Teambook
When New file in OpenAI
then Add Booking in Teambook
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 Teambook
Triggers and actions 5 triggers · 103 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 Actual logCreates one or more time-tracking actual logs in a batch.
Action
Add BookingCreates one or more bookings in a batch.
Action
Add ClientCreates a client record.
Action
Add TaskCreates a task, optionally scoped to a project (omit project_id for account-wide task).
Action
Create ProjectCreate a Project inside Teambook
Action
Create UserCreates a teambook User
Action
Deactivate UserDeactivates a Teambook user so they can no longer be booked or sign in, without deleting their history.
Action
Delete Actual logDeletes an actual log by id.
Action
Delete BookingRemoves a single booking from Teambook.
Action
Delete ProjectDeletes a project by id.
Action
Delete TaskDeletes a task from the Teambook account.
Action
Delete UserDeletes a user from the Teambook account.
Action
Get Actual logRetrieve a single Teambook actual log (time entry) by its id.
Action
Get BookingRetrieve a single Teambook booking (a user's assignment to a project on a date for a duration) by its id.
Action
Get ClientRetrieves a single client by id.
Action
Get ProjectRetrieves a single project by id.
Action
Get TaskRetrieves a single task by id.
Action
Get TeamRetrieve a single Teambook team by its id.
Action
Get UserRetrieve a single Teambook user by id.
Action
List Actual logsLists actual logs (timesheet entries), filterable by user_id, project_id, since, range.
Action
List BookingsLists bookings, optionally filtered by team, user, project and date window. Returns the first page of up to 100 bookings.
Action
List ClientsReturns every client in the Teambook account.
Action
List Project capacitiesLists project capacity entries (days reserved per project per month) entered on the Capacity by Project page.
Action
List ProjectsLists all projects in the Teambook account.
Action
List TasksLists all tasks.
Action
List TeamsLists all teams in the Teambook account.
Action
List User capacitiesLists monthly capacity-reservation rows per user, filterable by user_id and since (first day of month).
Action
List UsersLists all users in the Teambook account.
Action
Update Actual logEdits an actual log's project, user, date, duration, task, payroll_item, approved, or comment.
Action
Update BookingUpdates an existing Teambook booking; only the fields you fill in are changed.
Action
Update ClientEdits a client's name, phone_number, or email.
Action
Update ProjectEdits a project's fields (name, code, active, color, kind, estimated, notes, client_id, manager_id, dates, custom_fields).
Action
Update TaskEdits a task's name or project_id.
Action
Update UserEdits a user's first_name, last_name, email, role, billable, time_zone, phone_number, language, or schedule.
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 Teambook, 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 Teambook when something happens in OpenAI?
Any of Teambook's 34 actions, including Create Project, Create User, Update Actual log and Update Booking. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Teambook to OpenAI?
Teambook has no triggers in the catalog today, so automations start in OpenAI. If you need the other direction, ask: your agent reads Teambook's API documentation and adds it.
Do I have to build a connector for OpenAI or Teambook?
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.