Introducing MCP Evals: A New Way to Evaluate Your MCP Tools

Model Context Protocol (MCP) has emerged as a critical standard for AI-assisted development tools. Ensuring your MCP implementations meet the specifications and perform optimally is essential for delivering reliable AI assistance to developers.

What is MCP Evals?

MCP Evals is a comprehensive evaluation framework designed specifically for testing and benchmarking MCP tool implementations. Our solution comes in two forms:

• Node.js Package: A flexible library you can integrate into your existing testing frameworks
• GitHub Action: A ready-to-use CI solution that runs evaluations on every pull request

Key Features

• Comprehensive Metrics: Evaluate accuracy, completeness, adherence to protocol specs, and more
• Realistic Scenarios: Test against real-world development situations
• Detailed Reports: Get actionable insights to improve your implementations
• Easy Integration: Works with popular CI/CD pipelines and testing frameworks

Getting Started

To start using MCP Evals, visit our GitHub repository and follow the installation instructions.

  // Example integration with Jest
  import { runMCPEvaluation } from 'mcp-evals';
  
  describe('MCP Tool Tests', () => {
    it('should correctly handle file read requests', async () => {
      const results = await runMCPEvaluation('file-read-test');
      expect(results.accuracy).toBeGreaterThan(0.9);
    });
  });

Stay tuned for more blog posts about best practices, case studies, and advanced usage of MCP Evals!