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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.
Connect to the mcp API via MCP to extend AI tool capabilities.
Build, debug, and manage software tasks with natural language across LLMs.
Auto-generate MCP servers so AI can query data sources without code.
Build MCP apps and agent servers for leading AI assistants faster.
Access multiple AI providers in one terminal for generation, search, and comparison.
Build and integrate MCP servers quickly with TypeScript.