---
title: "Connect OpenAI to Urantia Papers - APIANT.ai"
description: "When \"New batch\" fires in OpenAI, your agent runs \"Find Bible verses by semantic search\" in Urantia Papers."
canonical: "https://apiant.ai/connect/openai-to-urantia-papers"
---

# Connect OpenAI to Urantia Papers

When **New batch** fires in [OpenAI](https://apiant.ai/connections/openai), your agent runs **Find Bible verses by semantic search** in [Urantia Papers](https://apiant.ai/connections/urantia-papers). Describe the whole flow and it is built, tested on every scenario and kept running.

OpenAI **5** triggers OpenAI **69** actions Urantia Papers **11** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want OpenAI and Urantia Papers to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What OpenAI can start in Urantia Papers

- When **New batch** in OpenAI then **Find Bible verses by semantic search** in Urantia Papers
- When **New file** in OpenAI then **Find paragraphs by semantic search** in Urantia Papers

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 Urantia Papers

## Triggers and actions 5 triggers · 80 actions

- Trigger

**New batch**

List your organization's batches.

- Trigger

**New file**

Returns a list of files.

- Trigger

**New model**

Lists the currently available models.

- Trigger

**New vector store**

Returns a list of vector stores.

- Trigger

**New video**

List recently generated videos for the current project.

- Action

**Cancel batch**

Cancels an in-progress batch.

- Action

**Cancel run**

Cancels a run that is in_progress.

- Action

**Cancel vector store file batch**

Cancel a vector store file batch.

- Action

**Content moderation**

Classifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API.

- Action

**Count input tokens**

Returns input token counts of the request.

- Action

**Create assistant**

Create an assistant with a model and instructions.

- Action

**Create chat completion**

Sends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply.

- Action

**Create completion**

Creates a completion for the provided prompt and parameters.

- Action

**Create embedding**

Generates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small).

- Action

**Create message**

Create a message.

- Action

**Create run**

Create a run.

- Action

**Creates and executes a batch from an uploaded file of requests**

Creates and executes a batch from an uploaded file of requests

- Action

**Create thread**

Create a thread.

- Action

**Create thread and run**

Create a thread and run it in one request.

- Action

**Create vector store**

Create a vector store.

- Action

**Create vector store file**

Create a vector store file by attaching a File to a vector store.

- Action

**Create vector store file batch**

Create a vector store file batch.

- Action

**Create video edit job**

Create a new video generation job by editing a source or existing generated video.

- Action

**Create video extension**

Create an extension of a completed video.

- Action

**Create video generation job**

Create a new video generation job from a prompt and optional reference assets.

- Action

**Create video remix**

Create a remix of a completed video using a refreshed prompt.

- Action

**Delete assistant**

Delete an assistant.

- Action

**Delete eval run**

Delete an eval run.

- Action

**Delete file**

Delete a file and remove it from all vector stores.

- Action

**Delete message**

Deletes a message.

- Action

**Delete thread**

Delete a thread.

- Action

**Delete vector store**

Delete a vector store.

- Action

**Delete vector store file**

Delete a vector store file (removes from store, file itself not deleted).

- Action

**Delete video**

Permanently delete a completed or failed video and its stored assets.

- Action

**Download video content**

Download the generated video bytes or a derived preview asset.

- Action

**Edit image**

Creates an edited or extended image given one or more source images and a prompt.

- Action

**Generate image**

Generates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data.

- Action

**Generate speech**

Converts text into spoken audio using a TTS model and the selected voice. Returns audio bytes.

- Action

**Get assistant**

Retrieves an assistant.

- Action

**Get batch**

Retrieves a batch.

- Action

**Get file**

Returns information about a specific file.

- Action

**Get file content**

Returns the contents of the specified file.

- Action

**Get message**

Retrieve a message.

- Action

**Get model**

Retrieves a model instance.

- Action

**Get run**

Retrieves a run.

- Action

**Get run step**

Retrieves a run step.

- Action

**Get thread**

Retrieves a thread.

- Action

**Get vector store**

Retrieves a vector store.

- Action

**Get vector store file**

Retrieves a vector store file.

- Action

**Get vector store file batch**

Retrieves a vector store file batch.

- Action

**Get vector store file content**

Retrieve the parsed contents of a vector store file.

- Action

**Get video**

Fetch the latest metadata for a generated video.

- Action

**List conversation items**

List all items for a conversation with the given ID.

- Action

**List files**

Lists files that have been uploaded to your OpenAI account.

- Action

**List messages**

Returns a list of messages for a given thread.

- Action

**List models**

Lists the models currently available to your account.

- Action

**List runs**

Returns a list of runs belonging to a thread.

- Action

**List run steps**

Returns a list of run steps belonging to a run.

- Action

**List vector store file batch files**

Returns a list of vector store files in a batch.

- Action

**List vector store files**

Returns a list of vector store files.

- Action

**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.

- Action

**Retrieve response**

Retrieves a previously created model response by its Response ID.

- Action

**Search vector store**

Search a vector store for relevant chunks based on a query and filter.

- Action

**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.

- Action

**Submit tool outputs to run**

Submit tool outputs when a run requires action.

- Action

**Transcribe audio**

Transcribes audio into the input language.

- Action

**Translate audio**

Translates audio into English.

- Action

**Update assistant**

Modifies an assistant.

- Action

**Update message**

Modifies a message.

- Action

**Update run**

Modifies a run.

- Action

**Update thread**

Modifies a thread.

- Action

**Update vector store**

Modifies a vector store.

- Action

**Update vector store file attributes**

Update attributes on a vector store file.

- Action

**Upload file**

Upload a file that can be used across various endpoints.

- Action

**Find Bible verses by semantic search**

Semantic search across the Bible, returning related Urantia Papers passages.

- Action

**Find paragraphs by semantic search**

Semantic similarity search across all paragraphs.

- Action

**Find paragraphs by text search**

Full-text search across all paragraphs.

- Action

**Get audio for paragraph**

Get the audio narration URL for a paragraph.

- Action

**Get entity**

Get an entity by ID.

- Action

**Get paper**

Get a paper and all its paragraphs.

- Action

**Get paragraph**

Get a paragraph by its reference.

- Action

**Get table of contents**

Get the full table of contents of the Urantia Papers.

- Action

**List entities**

List entities (people, places, concepts) referenced in the papers.

- Action

**List languages**

List available translation languages.

- Action

**List papers**

List all papers.

## Each app on its own

- [ **OpenAI** OpenAI's platform for text generation (Responses + Chat Completions), image generation (gpt-image-1 /...](https://apiant.ai/connections/openai)
- [ **Urantia Papers** Urantia Papers is a text API over the full corpus of The Urantia Book.](https://apiant.ai/connections/urantia-papers)

Reviews

## What our customers say

## More from OpenAI

- [ **OpenAI to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/openai-to-hubspot)
- [ **OpenAI to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/openai-to-salesforce)
- [ **OpenAI to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/openai-to-slack)
- [ **OpenAI to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/openai-to-stripe)
- [ **OpenAI to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/openai-to-quickbooks-online)
- [ **OpenAI to Pipedrive** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/openai-to-pipedrive)

## More into Urantia Papers

- [ **ShareFile to Urantia Papers** Securely send, store, and share files – plus discover document workflows designed to improve your client...](https://apiant.ai/connect/sharefile-to-urantia-papers)
- [ **HubSpot to Urantia Papers** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-urantia-papers)
- [ **Salesforce to Urantia Papers** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-urantia-papers)
- [ **Slack to Urantia Papers** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-urantia-papers)
- [ **Google Sheets to Urantia Papers** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-urantia-papers)
- [ **Gmail to Urantia Papers** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-urantia-papers)

Questions

## OpenAI and Urantia Papers, 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 Urantia Papers when something happens in OpenAI?

Any of Urantia Papers's 11 actions, including Find Bible verses by semantic search, Find paragraphs by semantic search, Find paragraphs by text search and Get audio for paragraph. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Urantia Papers to OpenAI?

Urantia Papers has no triggers in the catalog today, so automations start in OpenAI. If you need the other direction, ask: your agent reads Urantia Papers's API documentation and adds it.

###

### Do I have to build a connector for OpenAI or Urantia Papers?

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 Urantia Papers 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.
