Trending Model Context Protocol for AI Agents Gets C Sharp SDK
The Model Context Protocol MCP for agentic AI has gained much traction since being introduced by Anthropic last November and now it has a C Sharp SDK.
The Model Context Protocol (MCP) for agentic AI has gained significant traction since its introduction by Anthropic in November, and now it boasts a new C# SDK.
Overview of MCP
The Model Context Protocol (MCP) is a standard designed to integrate large language models (LLMs) with external tools and data sources. This enables AI agents to perform autonomous tasks, such as interacting with UIs to book flights or retrieve data.
Microsoft and Anthropic Partnership
Anthropic open-sourced MCP, and Microsoft, in collaboration with Anthropic, has released the ModelContextProtocol NuGet package. Despite being in an early preview version (0.1.0-preview.8), the package has already surpassed 21,000 downloads.
Rapid Adoption and Industry Support
Microsoft described MCP's adoption as "rapid," with major players like OpenAI, Google DeepMind, and others integrating the standard into their platforms. Google has also introduced a complementary protocol called A2A, which works alongside MCP to facilitate communication among AI models.
Integration with Microsoft Products
MCP is already being leveraged in several Microsoft offerings, including:
- GitHub Copilot Agent Mode in Visual Studio Code v1.99
- Semantic Kernel
- Playwright MCP for browser automation
Microsoft highlighted that many of its core products, such as Visual Studio, Azure services, and Microsoft Teams, are written in C#, making the new SDK a natural fit for further integration.
C# SDK Benefits
The C# SDK aims to:
- Simplify the creation of MCP servers in C#.
- Enhance performance using modern .NET optimizations.
- Support containerization for local development scenarios.
Samples are available in the project's GitHub repo.
Future Outlook
With MCP's growing adoption and Microsoft's commitment to expanding its ecosystem, the protocol is poised to play a pivotal role in the future of agentic AI. The C# SDK marks a significant step toward broader accessibility for developers in the enterprise space.
Related News
Designing Dynamic Data Pipelines for AI Agents
The infrastructure behind AI agents is a living system that requires modular and flexible data pipelines to support real-time, context-rich data.
Coder Launches Enterprise Platform for Secure AI Development Environments
Coder's new platform enables secure, self-hosted AI development environments for enterprise teams, bridging the gap between AI technologies and real-world use.