by afrise · MCP Server · ★ 361
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MCPSharp MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models. With MCPSharp, you can: Create MCP-compliant tools and functions that AI models can discover and use Connect directly to existing MCP servers from C# code with an easy to use client Expose your .NET methods as MCP endpoints with simple attributes Handle MCP protocol details and JSON-RPC communication seamlessly 🚀 What's New in MCPSharp Microsoft.Extensions.AI Integration: MCPSharp now integrates with Microsoft.Extensions.AI, allowing tools to be exposed as AIFunctions Semantic Kernel Support: Add tools using Semantic Kernel's KernelFunctionAttribute Dynamic Tool Registration: Register tools on-the-fly with custom implementation logic Tool Change Notifications: Server now notifies clients when tools are added, updated, or removed Complex Object Parameter Support: Better handling of complex objects in tool parameters Better Error Handling: Improved error handling with detailed stack traces When to Use MCPSharp
| Stars | 361 |
| Forks | 41 |
| Language | C# |
| Category | MCP Server |
| License | MIT |
| Quality Score | 42.2/100 |
| Open Issues | 12 |
| Last Updated | 2025-10-20 |
| Created | 2025-02-17 |
| Platforms | cli, dotnet, mcp |
| Est. Tokens | ~17k |
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MCPSharp is MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.. It is categorized as a MCP Server with 361 GitHub stars.
MCPSharp is primarily written in C#. It covers topics such as ai, aifunctions, dotnet.
You can find installation instructions and usage details in the MCPSharp GitHub repository at github.com/afrise/MCPSharp. The project has 361 stars and 41 forks, indicating an active community.
MCPSharp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MCPSharp on Agent Skills Hub include gopher-mcp, context-space, mcp-client-for-ollama. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.