mcp and mcp-dotnet-samples

The official MCP server implementations catalog serves as the reference specification and production-ready tools, while the .NET samples provide educational examples and boilerplate patterns for developers building custom MCP servers and clients within the .NET ecosystem—making them complements where the samples help developers utilize and extend the official implementations.

mcp
93
Verified
mcp-dotnet-samples
57
Established
Maintenance 25/25
Adoption 20/25
Maturity 25/25
Community 23/25
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 22/25
Stars: 2,845
Forks: 434
Downloads: 287,327
Commits (30d): 167
Language: C#
License: MIT
Stars: 157
Forks: 51
Downloads: —
Commits (30d): 0
Language: C#
License: MIT
No risk flags
No Package No Dependents

About mcp

microsoft/mcp

Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

This project provides official server implementations of Microsoft's Model Context Protocol (MCP). It helps developers connect their AI assistants, like those in IDEs, with various Microsoft services such as Azure, Microsoft Fabric, and Azure DevOps. By enabling these connections, developers can leverage AI to access data and integrate tools consistently, enhancing the capabilities and flexibility of their AI applications.

AI-powered development Azure integration developer tools API standardization AI application development

About mcp-dotnet-samples

microsoft/mcp-dotnet-samples

A comprehensive set of samples of creating and using MCP servers and clients with .NET

This project offers examples for .NET developers to create applications that connect Large Language Models (LLMs) with various data sources and tools. It allows you to feed information from sources like GitHub or Outlook into an LLM and receive outputs that integrate with those systems, such as sending emails or managing to-do lists. This is for software developers building AI-powered applications or agents.

AI application development .NET development LLM integration API integration AI agent building

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