发现为 Microsoft 构建的 106 个 MCP。
Enables AI assistants to create, read, and manipulate Microsoft Word documents through a standardized interface.
Enables creating, editing, and manipulating PowerPoint presentations through the Model Context Protocol.
Enables AI assistants to access and search official Microsoft documentation in real-time.
Enables reading and writing of spreadsheet data to Microsoft Excel files through a Model Context Protocol (MCP) server.
Experiments with Azure API Management's AI capabilities, integrating with Azure OpenAI, AI Foundry, and more.
Enables integration with Microsoft Teams using the Model Context Protocol (MCP) to manage messages and members.
Enables building Model Context Protocol (MCP) servers and clients in .NET for AI assistant integration.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
Enables secure interaction with Microsoft SQL Server databases via a controlled interface for AI assistants.
Integrates with Azure AI Foundry to connect to existing Azure AI Agents, leveraging models and knowledge tools.
Empowers AI agents with advanced Roslyn-powered capabilities to analyze, understand, and precisely modify C# codebases.
Enables natural language interaction with Excel files for data analysis, visualization, and manipulation.
Enables AI assistants to interact with Azure DevOps services via the Python SDK.
Integrates the Microsoft Bing Search API for AI assistants to perform web, news, and image searches.
Bridges AI assistants to Microsoft SQL Server databases for querying and exploration.
Provides AI models with rich UI context and powerful interaction capabilities using Microsoft OmniParser and Model Context Protocol (MCP).
Executes PowerShell scripts provided as strings and returns the output.
Enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases for AI assistants.
Provides access to Microsoft Outlook email functionality through a standardized Model Context Protocol interface.
Orchestrates the creation and management of multiple isolated Model Context Protocol servers from a single connector, enabling robust AI assistant integrations with databases and APIs.
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