Unit Test for MCP!

This post explains how to write unit tests for MCP servers using skUnit and xUnit. The process involves creating an xUnit project and adding the skUnit NuGet package. Configuration involves setting up API keys, endpoints, and deployment names for Azure OpenAI. A StdioClientTransport is created to connect to the Time Server MCP, and an McpClientFactory establishes the connection. A ChatClient is built using the MCP's tools, configuring options and function invocation. skUnit is used to load a test scenario from a markdown file and assert the expected behavior. The test scenario validates the MCP's ability to answer time-related questions and calculate the number of days in a month. The tests use semantic conditions and function call checks to ensure the MCP functions correctly. skUnit simplifies testing AI components like MCP servers and ChatClients. The example uses "current_time" and "days_in_month" tools within the MCP. The complete source code is available on GitHub for further exploration.