Connect Microsoft OneNote to OpenAI (ChatGPT)

Creates a notebook. See the documentation

Creates a page. See the documentation

Creates a section. See the documentation

Gets a page. See the documentation

Retrieve the body content of a OneNote page as HTML or Markdown. Use **Get Page** for the page's metadata (title, parent section, URLs, timestamps); use this action when you need the actual page content. Use **Search Pages** first to resolve a page name to a pageId. Set convertToMarkdown to true for cleaner, more compact output (recommended when the consumer is an LLM). Set includeIDs to true if you need element IDs for a later update operation. Note: combining includeIDs with convertToMarkdown may strip data-id attributes during conversion. See the documentation

Retrieves available options for the Notebook ID field.

Retrieves available options for the Page ID field.

Retrieves available options for the Section ID field.

Searches for notebooks. See the documentation

Search and list OneNote pages. Supports free-text title search, OData filtering, expansion of related resources, and pagination. Use search for natural-language queries against page titles (e.g., weekly notes, feeding schedule). Translated server-side to a case-insensitive contains filter on the page title. Use filter for structured OData queries (e.g., createdDateTime gt 2026-01-01T00:00:00Z). search and filter can be combined and are joined with and. Limitation: Microsoft Graph does not support searching OneNote page **body content** via this endpoint. To match on content, retrieve a candidate set by title and then call **Get Page Content** for each. Use **Get Page Content** to retrieve the body of a specific page after locating it here. Use **Get Page** for page metadata only. Returns the array of matching pages and a nextLink URL for pagination when more results are available. See the documentation

Searches for sections. See the documentation

The Chat API, using the gpt-3.5-turbo or gpt-4 model. See the documentation

Chat using the web search tool. See the documentation

Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. See the documentation

Chat with your files knowledge base (vector stores). See the documentation

Summarizes text using the Chat API. See the documentation

Classify items into specific categories using the Chat API. See the documentation

Translate text from one language to another using the Chat API. See the documentation

Transcribes audio into the input language. See the documentation

Creates an image given a prompt returning a URL to the image. See the documentation

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. See the documentation

OpenAI recommends using the **Chat** action for the latest gpt-3.5-turbo API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older /completions API. See the documentation

Send a message or question about an image and receive a response. See the documentation

Cancels a run that is in progress. See the documentation

Sends a message and generates a response, storing the message history for a continuous conversation. See the documentation

Send a chat via the Responses API, mixing built-in tools and MCP server tools. See the documentation.

Generates audio from the input text. See the documentation

Creates an assistant with a model and instructions. See the documentation

Creates and executes a batch from an uploaded file of requests. See the documentation

Creates a job that fine-tunes a specified model from a given dataset. See the documentation

Classifies if text is potentially harmful. See the documentation

Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. See the documentation

Create a vector store. See the documentation

Create a vector store file. See the documentation

Deletes a specified file from OpenAI. See the documentation