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mcp-evals

Observation pool · not formally ranked

This project does not currently meet the main index requirement of two current dimensions across two source types.

Not ranked
Observed adoptionCurrent · 2026-09-12
31
MomentumMissing
AttentionMissing
Signal confidence Based on how many independent score dimensions currently have data.
Limited1/3 · 1 source types

Methodology v2.0 · snapshot 2026-09-12 · stale after 2 days

About

A Node.js package and GitHub Action for evaluating MCP (Model Context Protocol) tool implementations using LLM-based scoring, with built-in observability support. This helps ensure your MCP server's tools are working correctly, performing well, and are fully observable with integrated monitoring and metrics.

You can create evaluation configurations in either TypeScript or YAML format.

Create a file (e.g., evals.ts) that exports your evaluation configuration:

For simpler configuration, you can use YAML format (e.g., evals.yaml):

You can run the evaluations using the CLI with either TypeScript or YAML files:

Each evaluation returns an object with the following structure:

If you're using…

Across sources

34.3k Downloads / week
  • Downloads / week 34.3k