model-context-builder

Standardize Model Context Protocol server evaluation with read-only, idempotent task testing.

15|5|Updated May 19, 2026

Search Tags:#automation #testing #quality assurance #llm #evaluation #mcp

Ready to run

npx skills add https://github.com/bobmatnyc/trusty-tools --skill model-context-builder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: model-context-builder
Source: https://github.com/bobmatnyc/trusty-tools/tree/main/crates/trusty-code/src/assets/skills/model-context-builder
Command: npx skills add https://github.com/bobmatnyc/trusty-tools --skill model-context-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, mcp, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the difficulty of ensuring MCP servers are robust, reliable, and capable of handling complex, multi-step reasoning tasks without human intervention.

Core Features & Use Cases

Evaluation Framework: Provides a structured methodology to test MCP servers using read-only, non-destructive, and idempotent operations.
Quality Assurance: Enables the creation of complex, multi-hop QA pairs that stress-test tool schemas and documentation.
Use Case: Use this Skill to generate and run a suite of 10 complex evaluation questions against your custom MCP server to verify that it provides accurate, stable, and verifiable answers before deployment.

Quick Start

Run the evaluation script by executing the python evaluation.py command with your target MCP server configuration file.

Frequently Asked Questions about model-context-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I evaluate MCP server performance and reliability before deployment?▼

You can evaluate MCP server performance by running a Python-based evaluation harness that executes rigorous, read-only, and idempotent task tests against your server configuration to ensure stable and verifiable answers.

What is a multi-hop QA pair for testing LLM reasoning capabilities?▼

A multi-hop QA pair is a complex evaluation question format used to stress-test tool schemas and documentation, validating whether an LLM can handle multi-step reasoning tasks without human intervention.

How do I start automated testing for my Model Context Protocol server?▼

Start automated testing by executing the python evaluation.py command with your target MCP server configuration file to generate and run a suite of 10 complex evaluation questions.

Do I need Python and Anthropic dependencies to run MCP server quality assurance tests?▼

Yes, you need Python to execute the evaluation script, and the Skill requires both Anthropic and MCP dependencies to validate tool schema effectiveness and LLM reasoning capabilities.

Can I use non-destructive operations to validate tool schema effectiveness?▼

Yes, the evaluation framework specifically uses read-only, non-destructive, and idempotent operations to validate tool schema effectiveness while ensuring the testing process does not alter server state.