AI Testing
MCP server for comprehensive AI testing, evaluation, and quality assurance
What is AI Testing?
AI Testing is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for comprehensive ai testing, evaluation, and quality assurance
MCP server for comprehensive AI testing, evaluation, and quality assurance
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server for comprehensive AI testing, evaluation, and qua
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx ai-testingConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AI Testing
The AI Testing MCP server provides a comprehensive framework for evaluating, benchmarking, and quality-assuring AI language models through the Model Context Protocol. It exposes tools to run structured test suites across accuracy, performance, and security dimensions, evaluate individual model outputs with semantic similarity metrics, and auto-generate test cases for new scenarios. Teams building AI products can use it to catch regressions and measure quality changes across model versions.
Prerequisites
- Node.js 18 or higher and npm installed
- Git to clone the repository
- An OpenAI API key (OPENAI_API_KEY) and/or Anthropic API key (ANTHROPIC_API_KEY) for the models under test
- An MCP client such as Claude Desktop or Claude Code
Clone the repository
Download the ai-testing-mcp source code from GitHub.
git clone https://github.com/groovy-web/ai-testing-mcp.git
cd ai-testing-mcpInstall dependencies
Install all Node.js packages required by the server.
npm installConfigure environment variables
Copy the example env file and add your API keys for the AI providers you want to test against.
cp .env.example .env
# Then edit .env and set:
# OPENAI_API_KEY=your_openai_key
# ANTHROPIC_API_KEY=your_anthropic_keyStart the MCP server
Launch the server in stdio mode so an MCP client can connect to it.
npm startAdd the server to your MCP client config
Register the server with your MCP client so it can invoke the testing tools.
AI Testing Examples
Client configuration
Add this block to your claude_desktop_config.json. Replace the path with where you cloned the repository.
{
"mcpServers": {
"ai-testing": {
"command": "node",
"args": ["/absolute/path/to/ai-testing-mcp/index.js"],
"env": {
"OPENAI_API_KEY": "your_openai_key",
"ANTHROPIC_API_KEY": "your_anthropic_key"
}
}
}
}Prompts to try
Prompts that exercise the run_test_suite, evaluate_output, and generate_test_cases tools.
- "Run a test suite against gpt-4o measuring accuracy and latency with my custom test cases"
- "Evaluate this model output against the expected answer using semantic similarity scoring"
- "Generate 20 test cases for a customer support chatbot that handles billing questions"
- "Check if the latest model version passes our security test thresholds"Troubleshooting AI Testing
Authentication error when running tests
Verify that OPENAI_API_KEY and ANTHROPIC_API_KEY are correctly set in your .env file and that the keys are active and have sufficient quota.
npm start exits immediately with no output
Run 'npm install' again to ensure all dependencies are present, then check for syntax errors in your .env file.
Test suite reports accuracy below threshold unexpectedly
Check the default accuracy threshold (0.95) in your config and adjust it for your use case. Also verify that your test cases have well-formed expected outputs.
Frequently Asked Questions about AI Testing
What is AI Testing?
AI Testing is a Model Context Protocol (MCP) server that mcp server for comprehensive ai testing, evaluation, and quality assurance It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AI Testing?
Follow the installation instructions on the AI Testing GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AI Testing?
AI Testing works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AI Testing free to use?
Yes, AI Testing is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
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