Skunit Testing Framework
skUnit is a testing tool for AI units, such as IChatClient, MCP Servers and agents.
What is Skunit Testing Framework?
Skunit Testing Framework is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to skunit is a testing tool for ai units, such as ichatclient, mcp servers and agents.
skUnit is a testing tool for AI units, such as IChatClient, MCP Servers and agents.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- skUnit is a testing tool for AI units, such as IChatClient,
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx skunitConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Skunit Testing Framework
skUnit is a .NET testing framework and MCP server for validating AI units — including IChatClient implementations, MCP servers, and AI agents built with Semantic Kernel. It lets developers write human-readable test scenarios in Markdown that specify user inputs and assert semantically on AI responses, JSON outputs, and function calls. It works with xUnit, NUnit, and MSTest, and supports multi-run resilience testing to account for LLM non-determinism.
Prerequisites
- .NET 8 SDK or later installed
- An existing .NET test project using xUnit, NUnit, or MSTest
- An Azure OpenAI or OpenAI API key for running AI-powered semantic assertions
- An MCP-compatible client such as Claude Desktop if using the MCP server interface
Add skUnit to your .NET test project
Install the skUnit NuGet package into your existing test project.
dotnet add package skUnitConfigure your AI provider credentials
skUnit needs an LLM to evaluate semantic assertions. Add your Azure OpenAI or OpenAI credentials to your test configuration file or environment variables.
{
"AzureOpenAI_ApiKey": "your-api-key",
"AzureOpenAI_Endpoint": "https://your-endpoint.openai.azure.com/",
"AzureOpenAI_Deployment": "your-deployment-name"
}Write a test scenario in Markdown
Create a .md file describing a chat interaction. Use [USER] and [AGENT] headers to define turns, and ASSERT blocks to specify expected behavior semantically.
## [USER]
What is the tallest mountain in the world?
### ASSERT SemanticCondition
It mentions Mount Everest.
### ASSERT NOT SemanticCondition
It mentions K2 as the tallest.Run the scenario in your test code
Load the scenario Markdown file and execute it with a ScenarioRunner against your IChatClient.
var markdown = File.ReadAllText("scenarios/mountain.md");
var scenarios = ChatScenario.LoadFromText(markdown);
await ScenarioRunner.RunAsync(scenarios, chatClient);Run with multi-turn and multi-run support
For non-deterministic models, configure the scenario to run multiple times and pass if a threshold of runs succeed. Use the multi-run syntax in your Markdown scenario header.
Test MCP server tools and function calls
skUnit can assert that the AI called the correct MCP tool or function with the correct parameters, making it useful for integration testing of your own MCP servers.
Skunit Testing Framework Examples
Client configuration
Register skUnit as an MCP server in Claude Desktop if using it to run test scenarios via MCP protocol.
{
"mcpServers": {
"skunit": {
"command": "npx",
"args": ["skunit"],
"env": {
"AzureOpenAI_ApiKey": "your-api-key",
"AzureOpenAI_Endpoint": "https://your-endpoint.openai.azure.com/",
"AzureOpenAI_Deployment": "gpt-4o"
}
}
}
}Prompts to try
Use skUnit to test AI behaviors and MCP server tool invocations.
- "Run the skUnit test scenario in scenarios/product-qa.md against my chat client"
- "Write a skUnit scenario that tests whether my MCP server's search tool returns relevant results"
- "Create a multi-run skUnit test that verifies the response mentions the correct price at least 4 out of 5 times"
- "Verify that my AI agent calls the get_weather function when asked about tomorrow's forecast"
- "Run all skUnit scenarios in the /tests/scenarios directory and report which ones fail"Troubleshooting Skunit Testing Framework
SemanticCondition assertions always fail even for correct responses
Check that your AzureOpenAI_ApiKey, AzureOpenAI_Endpoint, and AzureOpenAI_Deployment are correctly set. skUnit uses a separate LLM call to evaluate semantic assertions, so invalid credentials will cause all semantic checks to fail.
Tests are flaky due to LLM non-determinism
Use skUnit's multi-run feature to run the scenario multiple times with a configurable success threshold. For example, configure the test to pass if at least 4 out of 5 runs succeed.
dotnet add package skUnit fails to find the package
Ensure you are targeting .NET 8 or later in your project file. Run dotnet --version to confirm. If you are on an older .NET version, upgrade your project's TargetFramework to net8.0.
Frequently Asked Questions about Skunit Testing Framework
What is Skunit Testing Framework?
Skunit Testing Framework is a Model Context Protocol (MCP) server that skunit is a testing tool for ai units, such as ichatclient, mcp servers and agents. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Skunit Testing Framework?
Follow the installation instructions on the Skunit Testing Framework GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Skunit Testing Framework?
Skunit Testing Framework works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Skunit Testing Framework free to use?
Yes, Skunit Testing Framework is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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