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Build MCP servers and clients quickly in .NET for AI integrations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCPSharp" yet — see the docs or source repo.
Using C# and MCPSharp, create a minimal runnable MCP server example that exposes a tool named get_time returning the current UTC time. Include project structure, dependency installation, and startup steps.
Runnable .NET MCP server sample code with dependency, configuration, and startup instructions.
Write a .NET client example with MCPSharp that connects to an existing MCP server, lists available tools, and calls one sample tool to print the result, including error-handling suggestions.
A client code example showing connection, tool discovery, and tool invocation flow.
I have an internal .NET service with APIs for checking order status and creating support tickets. Design how to wrap these capabilities as MCP tools with MCPSharp, including interface definitions, parameter design, response formats, and security considerations.
A design plan and sample code scaffold for mapping existing business APIs into MCP tools.
Build MCP apps and agent servers for leading AI assistants faster.
Aggregate multiple MCP servers into a few fixed tools for AI apps.
Access multiple AI providers in one terminal for generation, search, and comparison.
Build and integrate MCP servers quickly with TypeScript.
Build MCP servers quickly to expose app data and actions to AI clients.
Build MCP servers in TypeScript with less boilerplate and testing helpers.