Enable your agents to access and manage SharePoint sites, lists, and document libraries. Retrieve site information, manage list items, upload and organize files, and streamline your SharePoint workflows with AI-powered automation.
from crewai import Agent, Task, Crew# Create an agent with SharePoint capabilitiessharepoint_agent = Agent( role="SharePoint Manager", goal="Manage SharePoint sites, lists, and documents efficiently", backstory="An AI assistant specialized in SharePoint content management and collaboration.", apps=['microsoft_sharepoint'] # All SharePoint actions will be available)# Task to organize SharePoint contentcontent_organization_task = Task( description="List all accessible SharePoint sites and organize content by department", agent=sharepoint_agent, expected_output="SharePoint sites listed and content organized by department")# Run the taskcrew = Crew( agents=[sharepoint_agent], tasks=[content_organization_task])crew.kickoff()
from crewai import Agent, Task, Crewlist_manager = Agent( role="List Manager", goal="Manage SharePoint lists and data efficiently", backstory="An AI assistant that focuses on SharePoint list management and data operations.", apps=[ 'microsoft_sharepoint/get_site_lists', 'microsoft_sharepoint/get_list_items', 'microsoft_sharepoint/create_list_item', 'microsoft_sharepoint/update_list_item' ])# Task to manage list datalist_management_task = Task( description="Get all lists from the project site, review items, and update status for completed tasks", agent=list_manager, expected_output="SharePoint lists reviewed and task statuses updated")crew = Crew( agents=[list_manager], tasks=[list_management_task])crew.kickoff()
from crewai import Agent, Task, Crewdocument_manager = Agent( role="Document Manager", goal="Manage SharePoint document libraries and files", backstory="An AI assistant that specializes in document organization and file management.", apps=['microsoft_sharepoint'])# Task to manage documentsdocument_task = Task( description=""" 1. Get all files from the main document library 2. Upload new policy documents to the appropriate folders 3. Organize files by department and date 4. Remove outdated documents """, agent=document_manager, expected_output="Document library organized with new files uploaded and outdated files removed")crew = Crew( agents=[document_manager], tasks=[document_task])crew.kickoff()
from crewai import Agent, Task, Crewsite_administrator = Agent( role="Site Administrator", goal="Administer and analyze SharePoint sites", backstory="An AI assistant that handles site administration and provides insights on site usage.", apps=['microsoft_sharepoint'])# Task for site administrationadmin_task = Task( description=""" 1. Get information about all accessible SharePoint sites 2. Analyze site structure and content organization 3. Identify sites with low activity or outdated content 4. Generate recommendations for site optimization """, agent=site_administrator, expected_output="Site analysis completed with optimization recommendations")crew = Crew( agents=[site_administrator], tasks=[admin_task])crew.kickoff()
from crewai import Agent, Task, Crewdata_integrator = Agent( role="Data Integrator", goal="Integrate and analyze data across SharePoint sites and lists", backstory="An AI assistant that specializes in data integration and cross-site analysis.", apps=['microsoft_sharepoint'])# Task for data integrationintegration_task = Task( description=""" 1. Get data from multiple SharePoint lists across different sites 2. Consolidate information into comprehensive reports 3. Create new list items with aggregated data 4. Upload analytical reports to executive document library 5. Update dashboard lists with key metrics """, agent=data_integrator, expected_output="Data integrated across sites with comprehensive reports and updated dashboards")crew = Crew( agents=[data_integrator], tasks=[integration_task])crew.kickoff()
