Model Context Protocol (MCP) servers are the backbone of tool-augmented AI systems. They expose tools that AI models can invoke, like checking the weather, scheduling meetings, or querying databases.

But when multiple MCP servers are orchestrated together, things get complex. You need to ensure:
- Tools are discovered correctly
- Functions are invoked with the right parameters
- Responses are semantically accurate
- Servers coordinate smoothly

This is where skUnit comes in, a robust .NET testing framework specifically built for AI units such as IChatClient and MCP integrations.