MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)

0
0 Reviews
0 Stars
This MCP enables efficient file discovery and metadata analysis in Microsoft 365 environments, supporting integration with workflows by accessing SharePoint and OneDrive contents. It offers search capabilities and content retrieval, optimized with caching for performance.
Added on:
Created by:
Apr 10 2025
MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)

MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)

0 Reviews
0
0
MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)
This MCP enables efficient file discovery and metadata analysis in Microsoft 365 environments, supporting integration with workflows by accessing SharePoint and OneDrive contents. It offers search capabilities and content retrieval, optimized with caching for performance.
Added on:
Created by:
Apr 10 2025
Godwin Paul
Featured

What is MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)?

The MCP Server for Microsoft 365 File Search facilitates comprehensive file searching and content retrieval within SharePoint and OneDrive platforms. It offers core tools like 'search_m365_files' for performing searches based on query criteria, returning file metadata such as drive ID and file ID. Another tool, 'get_file_content', retrieves the content of specific files, utilizing local caching to enhance speed and reduce API calls. Users can integrate this server with business workflows and automation tools, enabling seamless access to organizational files. The system requires Azure app registration with necessary permissions and supports caching for improved performance. It is ideal for organizations seeking efficient enterprise search solutions across their Microsoft 365 content.

Who will use MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)?

  • IT administrators
  • Enterprise workflow developers
  • Business analysts
  • SharePoint/OneDrive users
  • Microsoft 365 administrators

How to use the MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)?

  • Step1: Register an application in Azure Portal and obtain Client ID, Tenant ID, and Client Secret
  • Step2: Configure MCP server with the Azure app credentials and permissions
  • Step3: Start the MCP server to enable search and content retrieval features
  • Step4: Integrate the server with your preferred automation or desktop tools
  • Step5: Use 'search_m365_files' to perform file searches and 'get_file_content' to retrieve content

MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)'s Core Features & Benefits

The Core Features
  • search_m365_files: Search files in M365
  • get_file_content: Retrieve content of specific files
The Benefits
  • Fast file searching with metadata
  • Efficient file content retrieval with caching
  • Simplifies integration with workflows
  • Supports large organizations with extensive document libraries

MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)'s Main Use Cases & Applications

  • Enterprise document management
  • Automated content indexing
  • Workflow automation within Microsoft 365
  • Data analysis and reporting
  • Internal knowledge base search

FAQs of MCP Server - Microsoft 365 File Search (SharePoint & OneDrive)

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

File Systems

Builds supplemental UI and resource files for client apps, enabling rich media asset integration with visual rendering.
Utilizes Jupyter notebooks to interact with MCP servers, filesystems, and memory for complex automation and data tasks.
Enables AI agents to securely read PDF files and extract text, metadata, and page counts via Node.js/TypeScript.
A set of tools for managing and analyzing MCP PDF documents with server and client components.
Provides secure, relative filesystem access for AI agents with batch operations and detailed error reporting.
A Rust-based client for Minecraft patching, enabling file updates and game modifications efficiently.
Provides secure, relative filesystem access for AI agents like Cline and Claude via Node.js server.
A filesystem MCP server enabling an LLM to read and list local directory files for AI integration.
A Node.js MCP server for reading, listing, and searching Excel files within specified directories.
A server for managing plugin communication in Alist, supporting functions like plugin integration and data exchange.