ai-testing-mcp

Overview

AI Testing MCP is a specialized Model Context Protocol server that provides standardized testing methodologies, evaluation metrics, and automated testing workflows for AI/ML systems. It implements the MCP specification for seamless integration with AI development tools, offering comprehensive testing capabilities including unit tests, integration tests, performance tests, security tests, and quality tests with detailed evaluation metrics for accuracy, quality, safety, performance, and cost efficiency.

Try asking AI

After installing, here are 3 things you can ask your AI assistant:

• run_test_suiterun_test_suite(model, testCategory, testCases)

  Execute a comprehensive test suite for an AI model

  Try:Run accuracy tests on GPT-4 with these test casesTry:Test the performance of Claude-3 with the provided scenarios
• evaluate_outputevaluate_output(output, expected, metrics)

  Evaluate AI model outputs against metrics

  Try:Evaluate this model response for coherence and relevanceTry:Check if the output matches the expected answer with exact match
• generate_test_casesgenerate_test_cases(scenario, count)

  Generate test cases for specific scenarios

  Try:Generate 10 test cases for prompt injection security testingTry:Create 5 test cases for mathematical accuracy evaluation

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Installation

# Clone the repository
git clone https://github.com/groovy-web/ai-testing-mcp.git
cd ai-testing-mcp

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Edit with your API keys

# Start the MCP server
npm start

{
  "mcpServers": {
    "ai-testing": {
      "command": "node",
      "args": ["/path/to/ai-testing-mcp/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "your-key",
        "ANTHROPIC_API_KEY": "your-key"
      }
    }
  }
}

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