mcp-evals

mclenhard
57
A Node.js package and GitHub Action for evaluating MCP (Model Context Protocol) tool implementations using LLM-based scoring. This helps ensure your MCP server's tools are working correctly and performing well.
#ai #evals #mcp

Overview

What is mcp-evals

mcp-evals is a Node.js package and GitHub Action designed for evaluating MCP (Model Context Protocol) tool implementations using LLM-based scoring. It ensures that MCP server tools are functioning correctly and performing optimally, with built-in observability support.

How to Use

To use mcp-evals, install it as a Node.js package via 'npm install mcp-evals' or integrate it into your GitHub Actions workflow by adding the specified YAML configuration. Create an evaluation file that exports your evaluation configuration and implement your evaluation logic using the provided functions.

Key Features

Key features of mcp-evals include LLM-based scoring for accurate evaluations, built-in observability support for monitoring and metrics, and seamless integration with GitHub Actions for automated evaluations.

Where to Use

mcp-evals can be used in software development environments where MCP tools are implemented, particularly in projects that utilize large language models (LLMs) for various applications.

Use Cases

Use cases for mcp-evals include evaluating the performance of weather information retrieval tools, assessing the accuracy of language processing models, and ensuring the reliability of any MCP tool implementations in software projects.

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