# Source: https://docs.crewai.com/en/enterprise/integrations/microsoft_word.md

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.crewai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Microsoft Word Integration

> Document creation and management with Microsoft Word integration for CrewAI.

## Overview

Enable your agents to create, read, and manage Word documents and text files in OneDrive or SharePoint. Automate document creation, retrieve content, manage document properties, and streamline your document workflows with AI-powered automation.

## Prerequisites

Before using the Microsoft Word integration, ensure you have:

* A [CrewAI AMP](https://app.crewai.com) account with an active subscription
* A Microsoft account with Word and OneDrive/SharePoint access
* Connected your Microsoft account through the [Integrations page](https://app.crewai.com/crewai_plus/connectors)

## Setting Up Microsoft Word Integration

### 1. Connect Your Microsoft Account

1. Navigate to [CrewAI AMP Integrations](https://app.crewai.com/crewai_plus/connectors)
2. Find **Microsoft Word** in the Authentication Integrations section
3. Click **Connect** and complete the OAuth flow
4. Grant the necessary permissions for file access
5. Copy your Enterprise Token from [Integration Settings](https://app.crewai.com/crewai_plus/settings/integrations)

### 2. Install Required Package

```bash  theme={null}
uv add crewai-tools
```

### 3. Environment Variable Setup

<Note>
  To use integrations with `Agent(apps=[])`, you must set the
  `CREWAI_PLATFORM_INTEGRATION_TOKEN` environment variable with your Enterprise
  Token.
</Note>

```bash  theme={null}
export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"
```

Or add it to your `.env` file:

```
CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
```

## Available Actions

<AccordionGroup>
  <Accordion title="microsoft_word/get_documents">
    **Description:** Get all Word documents from OneDrive or SharePoint.

    **Parameters:**

    * `select` (string, optional): Select specific properties to return.
    * `filter` (string, optional): Filter results using OData syntax.
    * `expand` (string, optional): Expand related resources inline.
    * `top` (integer, optional): Number of items to return (min 1, max 999).
    * `orderby` (string, optional): Order results by specified properties.
  </Accordion>

  <Accordion title="microsoft_word/create_text_document">
    **Description:** Create a text document (.txt) with content. RECOMMENDED for programmatic content creation that needs to be readable and editable.

    **Parameters:**

    * `file_name` (string, required): Name of the text document (should end with .txt).
    * `content` (string, optional): Text content for the document. Default is "This is a new text document created via API."
  </Accordion>

  <Accordion title="microsoft_word/get_document_content">
    **Description:** Get the content of a document (works best with text files).

    **Parameters:**

    * `file_id` (string, required): The ID of the document.
  </Accordion>

  <Accordion title="microsoft_word/get_document_properties">
    **Description:** Get properties and metadata of a document.

    **Parameters:**

    * `file_id` (string, required): The ID of the document.
  </Accordion>

  <Accordion title="microsoft_word/delete_document">
    **Description:** Delete a document.

    **Parameters:**

    * `file_id` (string, required): The ID of the document to delete.
  </Accordion>
</AccordionGroup>

## Usage Examples

### Basic Microsoft Word Agent Setup

```python  theme={null}
from crewai import Agent, Task, Crew

# Create an agent with Microsoft Word capabilities
word_agent = Agent(
    role="Document Manager",
    goal="Manage Word documents and text files efficiently",
    backstory="An AI assistant specialized in Microsoft Word document operations and content management.",
    apps=['microsoft_word']  # All Word actions will be available
)

# Task to create a new text document
create_doc_task = Task(
    description="Create a new text document named 'meeting_notes.txt' with content 'Meeting Notes from January 2024: Key discussion points and action items.'",
    agent=word_agent,
    expected_output="New text document 'meeting_notes.txt' created successfully."
)

# Run the task
crew = Crew(
    agents=[word_agent],
    tasks=[create_doc_task]
)

crew.kickoff()
```

### Reading and Managing Documents

```python  theme={null}
from crewai import Agent, Task, Crew

# Create an agent focused on document operations
document_reader = Agent(
    role="Document Reader",
    goal="Retrieve and analyze document content and properties",
    backstory="An AI assistant skilled in reading and analyzing document content.",
    apps=['microsoft_word/get_documents', 'microsoft_word/get_document_content', 'microsoft_word/get_document_properties']
)

# Task to list and read documents
read_docs_task = Task(
    description="List all Word documents in my OneDrive, then get the content and properties of the first document found.",
    agent=document_reader,
    expected_output="List of documents with content and properties of the first document."
)

crew = Crew(
    agents=[document_reader],
    tasks=[read_docs_task]
)

crew.kickoff()
```

### Document Cleanup and Organization

```python  theme={null}
from crewai import Agent, Task, Crew

# Create an agent for document management
document_organizer = Agent(
    role="Document Organizer",
    goal="Organize and clean up document collections",
    backstory="An AI assistant that helps maintain organized document libraries.",
    apps=['microsoft_word/get_documents', 'microsoft_word/get_document_properties', 'microsoft_word/delete_document']
)

# Task to organize documents
organize_task = Task(
    description="List all documents, check their properties, and identify any documents that might be duplicates or outdated for potential cleanup.",
    agent=document_organizer,
    expected_output="Analysis of document library with recommendations for organization."
)

crew = Crew(
    agents=[document_organizer],
    tasks=[organize_task]
)

crew.kickoff()
```

## Troubleshooting

### Common Issues

**Authentication Errors**

* Ensure your Microsoft account has the necessary permissions for file access (e.g., `Files.Read.All`, `Files.ReadWrite.All`).
* Verify that the OAuth connection includes all required scopes.

**File Creation Issues**

* When creating text documents, ensure the `file_name` ends with `.txt` extension.
* Verify that you have write permissions to the target location (OneDrive/SharePoint).

**Document Access Issues**

* Double-check document IDs for correctness when accessing specific documents.
* Ensure the referenced documents exist and are accessible.
* Note that this integration works best with text files (.txt) for content operations.

**Content Retrieval Limitations**

* The `get_document_content` action works best with text files (.txt).
* For complex Word documents (.docx), consider using the document properties action to get metadata.

### Getting Help

<Card title="Need Help?" icon="headset" href="mailto:support@crewai.com">
  Contact our support team for assistance with Microsoft Word integration setup
  or troubleshooting.
</Card>