MCP Evals
MCP Evals provides tools to evaluate MCP (Model Context Protocol) implementations with LLM scoring, ensuring accurate and reliable MCP tool performance.
Added on:
Created by:
Apr 27 2025
MCP Evals provides tools to evaluate MCP (Model Context Protocol) implementations with LLM scoring, ensuring accurate and reliable MCP tool performance.
Added on:
Created by:
Apr 27 2025
mat lenhard
Featured
What is MCP Evals?
MCP Evals is a Node.js package and GitHub Action designed to assess MCP (Model Context Protocol) tools using language models like GPT-4. It automates the evaluation process by running predefined tests, scoring tools on accuracy, relevance, and correctness, and providing detailed results. This ensures MCP server tools work correctly, are efficient, and meet performance standards. It is useful for developers maintaining MCP protocols, quality assurance teams, and anyone integrating MCP tools into workflows that demand high accuracy and robustness.
Who will use MCP Evals?
- MCP protocol developers
- Quality assurance engineers
- DevOps teams integrating MCP tools
- Research institutions testing MCP implementations
How to use the MCP Evals?
- Step 1: Install MCP Evals as a Node.js package or add it as a GitHub Action
- Step 2: Create an evaluation configuration file specifying the tests and scoring criteria
- Step 3: Run the evaluations locally using CLI or integrate the GitHub Action into your CI pipeline
- Step 4: Review the detailed scoring reports to identify performance issues and improvements
- Step 5: Iterate on your MCP tools based on feedback and re-evaluate as needed
MCP Evals's Core Features & Benefits
The Core Features
- Run automated MCP tool evaluations
- Score tools based on accuracy, relevance, and completeness
- Generate detailed reports for analysis
The Benefits
- Ensures MCP tools function correctly
- Automates validation and scoring process
- Supports CI/CD integration
- Provides comprehensive performance insights
MCP Evals's Main Use Cases & Applications
- Automated testing of MCP tool updates before deployment
- Continuous evaluation in CI/CD pipelines
- Research experiments validating MCP implementations
- Quality assurance for MCP server environments
FAQs of MCP Evals
Developer
- mclenhard
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