Microsoft向けに構築された106個のMCPを発見。
Facilitates AI-driven analysis of Windows crash dumps by providing structured access to Microsoft debugging tools through the Model Context Protocol.
Parse various document formats like PDF, Word, Excel, and PowerPoint to extract their content.
Enables AI assistants to programmatically create and manipulate PowerPoint presentations.
Enables interaction with Azure services like Blob Storage, Cosmos DB, and App Configuration via the Model Context Protocol.
Provides accurate .NET assembly and NuGet package metadata to assist AI coding agents in understanding APIs and resolving build errors.
Provides AI assistants with comprehensive access to Microsoft 365 services through the Model Context Protocol (MCP), enabling natural language automation of email, calendar, file management, and contact operations across multiple Microsoft accounts.
Enables programmatic browsing and interaction with OneNote web app notebooks via browser automation.
Enables AI applications to interact with Microsoft 365 and Azure AD services through a standardized Model Context Protocol (MCP) server for Microsoft Graph v2 beta API.
Orchestrates system updates, application installations, and performance optimizations across diverse operating systems, enabling agentic AI integration for intelligent management.
Enables Large Language Models to directly query and interact with Azure Cosmos DB data.
Provides AI assistants with safe, read-only access to SQL Server databases through AST-based query validation, rate limiting, and integrated DBA diagnostic tools.
Manages .resx localization files for any Model Context Protocol-compatible client.
Exposes tools and prompts for analyzing MSBuild projects to any Model Context Protocol (MCP) server.
Collects, processes, and analyzes Bing search data to extract insights and patterns.
Enables users to query SQL Server databases using natural language and receive structured SQL responses.
Sends notification messages to Microsoft Teams using Azure AD authentication.
Performs advanced web searches across multiple engines and extracts text content from web pages.
Manages and interacts with Azure resources through a Model Context Protocol server.
Enables AI language models to interact with Microsoft OneNote through a standardized interface.
Connects to Microsoft SQL Server using the Model Context Protocol (MCP).
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