Anthropic launches Microsoft 365 connector, integrating Claude AI with SharePoint, OneDrive, Outlook, and Teams for personalized assistance.....
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Microsoft has applied for a patent for an AI customer service system that uses natural language processing. The system can understand customer inputs to find the best solutions. It uses text encoding to represent customer queries and procedural operations, then matches the encoding to find the most suitable procedural operation. OneDrive recently added a similar feature, indicating that this AI system may be launched soon.
OneDrive will gain more intelligent support through the Copilot AI Assistant, which can summarize document content for users. OneDrive Copilot can predict user needs and offer operational suggestions. The new AI search feature will be launched in preview on the OneDrive web version and mobile app. The Copilot AI Assistant can also provide file summaries for others sharing documents. This new feature is expected to officially launch between the end of 2023 and early 2024.
Copilot in OneDrive, a new wave of interaction with files
A server for interacting with Microsoft 365 services based on the Model Context Protocol, providing functions to access various Office 365 services such as Excel, calendar, email, and OneDrive through the Graph API.
An MCP server implementation based on Spring Boot and Spring AI, enabling AI agents to search and navigate files and folders in Microsoft OneDrive.
A server implementation based on the MCP protocol that provides file search functionality for Microsoft 365 (SharePoint/OneDrive), supporting efficient file discovery, metadata analysis, and business process integration.
A server implementation based on the MCP protocol, providing advanced search functions for files in Microsoft 365 (SharePoint/OneDrive), supporting file content retrieval, metadata analysis, and business workflow integration.
This project is a read-only MCP server that allows LLMs (such as Claude Desktop) to access Microsoft OneDrive data in real-time through natural language queries. It is implemented based on the CData JDBC driver.
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