Integration
Connect Float and OpenAI
When New Allocation fires in Float, your agent runs Create message in OpenAI, or New batch in OpenAI to Create Client in Float. 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 Float 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)Example flows
What Float and OpenAI can do together
From Float to OpenAI
When New Allocation in Float
then Create message in OpenAI
When New Client in Float
then Create assistant in OpenAI
From OpenAI to Float
When New batch in OpenAI
then Create Client in Float
When New file in OpenAI
then Create Project in Float
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 Float and OpenAI
Triggers and actions 20 triggers · 90 actions
Trigger
New AllocationTriggers when a new allocation is created.
Trigger
New ClientTriggers when a new client is added.
Trigger
New DepartmentTriggers when a new department is added.
Trigger
New Logged TimeTriggers when a new logged time is created.
Trigger
New MilestoneTriggers when a new milestone is created.
Trigger
New PersonTriggers when a new person is added.
Trigger
New PhaseTriggers when a new phase is created.
Trigger
New ProjectTriggers when a new project is created.
Trigger
New Project TaskTriggers when a new project task is created.
Trigger
New Time OffTriggers when a new time off is created.
Trigger
Updated AllocationTriggers when an allocation is modified.
Trigger
Updated Logged TimeTriggers when a logged time is modified.
Trigger
Updated PhaseTriggers when a phase is modified.
Trigger
Updated ProjectTriggers when a project is modified.
Trigger
Updated Project TaskTriggers when a project task is modified.
Action
Create AllocationCreates a new allocation.
Action
Create ClientCreates a new client.
Action
Create DepartmentCreates a new department.
Action
Create Logged TimeCreates a new logged time.
Action
Create MilestoneCreates a new milestone.
Action
Create PersonCreates a new person.
Action
Create PhaseCreates a new phase.
Action
Create ProjectCreates a new project.
Action
Create Project TaskCreates a new project task.
Action
Create Time OffCreates a new time off.
Action
Find AllocationFinds an allocation by ID.
Action
Find Logged TimeFinds a logged time by ID.
Action
Find PersonFinds a person by ID, email, or tag(s).
Action
Find ProjectFinds a project by ID, project_code, or tag(s).
Action
Update AllocationUpdate an existing allocation by ID.
Action
Update Logged TimeUpdate an existing logged time entry by ID.
Action
Update MilestoneUpdate an existing milestone by ID.
Action
Update PersonUpdate an existing person by ID.
Action
Update PhaseUpdate an existing phase by ID.
Action
Update ProjectUpdate an existing project by ID.
Action
Update Project TaskUpdate an existing project task by ID.
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
Float and OpenAI, answered
What can start an automation from Float?
Any of Float's 15 triggers in the catalog, including New Allocation, New Client, New Department and New Logged Time. Describe the moment in plain language and your agent picks the right one.
What can your agent do in OpenAI when something happens in Float?
Any of OpenAI's 69 actions, including Create assistant, Create chat completion, Create completion and Create embedding. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from OpenAI to Float?
Yes. When something happens in OpenAI, your agent can act in Float too. This page covers both directions: OpenAI's triggers and Float's actions are listed here as well.
Do I have to build a connector for Float 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 Float 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.