Integration
Connect OpenAI and QuickBase
When something happens in OpenAI or QuickBase, your agent does the next thing in the other. 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 QuickBase 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)Connecting OpenAI and QuickBase lets records in your Quickbase tables drive model work, and lets model output land back in the right row. New feedback, articles or announcements can be moderated, summarized, embedded or read aloud, and new files and batches in OpenAI can be logged as Quickbase records. The agent builds it, tests every scenario and keeps it running.
Example flows
What OpenAI and QuickBase can do together
From OpenAI to QuickBase
When New batch in OpenAI
then Insert or update records in QuickBase
From QuickBase 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 QuickBase
Triggers and actions 7 triggers · 90 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 or updated record
Polling trigger. Fires for each record added or modified in the specified Quickbase table, ordered by Date Modified. Records are deduped by their Record ID# (field 3).
- New record
Polling trigger. Fires for each new record added to the specified Quickbase table, ordered by Record ID#. Records are deduped by their Record ID# (field 3).
- Add app
Creates a new Quickbase application in the connected realm, optionally with a description, app variables and security properties.
- Add field
Creates a new field in a Quickbase table, optionally with display settings, type-specific properties and per-role permissions.
- Add table
Create a new table in a QuickBase app.
- Delete app
Delete a QuickBase app by id.
- Delete field
Delete one or more QuickBase fields from a table.
- Delete records
Delete records from a Quickbase table that match a query (Quickbase query language in the where clause).
- Delete table
Deletes a table from a Quickbase app, including all of the data within it.
- Get app
Get the properties of a Quickbase application by its app ID.
- Get field
Get a single QuickBase field by id.
- Get report
Get metadata for a single QuickBase report.
- Get table
Get the properties of a single Quickbase table by table ID and app ID.
- Get table fields
List all fields (columns) for a Quickbase table, including field IDs, labels, and types.
- Get tables for app
List all tables belonging to a Quickbase application.
- Insert or update records
Insert new records or update existing ones in a Quickbase table. Pass data as an array of record objects keyed by field ID. Include the table's key field (or record ID field 3) to update; omit to insert.
- List reports
Lists all reports defined on a Quickbase table.
- Query records
Query records from a Quickbase table. Optionally pass select (array of field IDs), where (Quickbase query language), sortBy, groupBy, and options (skip/top).
- Run formula
Runs a Quickbase formula against a table (and optionally a record) and returns the result as text.
- Run report
Run a Quickbase report by report ID and table ID and return its result rows.
- Update app
Updates an app's name, description, app variables and/or security properties. Properties left blank stay unchanged.
- Update field
Updates the properties and per-role permissions of an existing field in a Quickbase table. Properties left blank stay unchanged.
- Update table
Update an existing QuickBase table's properties.
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 QuickBase, answered
Can the model's answer be written back onto the same Quickbase record?
Yes. The agent takes the reply from an OpenAI chat completion and uses the Insert or update records action in QuickBase, keyed to the record that triggered the run, so the summary or moderation result sits on that row.
How does a run start from Quickbase?
QuickBase offers a New record trigger and a New or updated record trigger on a table you choose, both polling and deduped. Either one can start an OpenAI step such as content moderation, a chat completion, an embedding or generated speech.
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 QuickBase when something happens in OpenAI?
Any of QuickBase's 21 actions, including Insert or update records, Query records, Update app and Update field. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from QuickBase to OpenAI?
Yes. When something happens in QuickBase, your agent can act in OpenAI too. This page covers both directions: QuickBase's triggers and OpenAI's actions are listed here as well.
Do I have to build a connector for OpenAI or QuickBase?
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.