webmcp-testing

Validates WebMCP tools through unit, schema, integration, agent, permission, and e-commerce flow testing with Chrome DevTools support.

35|16|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/OrcaQubits/agentic-commerce-claude-plugins --skill webmcp-testing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: webmcp-testing
Source: https://github.com/OrcaQubits/agentic-commerce-claude-plugins/tree/main/webmcp-browser-agents/skills/webmcp-testing
Command: npx skills add https://github.com/OrcaQubits/agentic-commerce-claude-plugins --skill webmcp-testing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of ensuring that WebMCP tools function correctly when used by AI agents, covering various testing dimensions from unit to end-to-end flows.

Core Features & Use Cases

  • Comprehensive Testing: Supports unit, schema, integration, agent, permission, and end-to-end testing for WebMCP tools.
  • Agent Validation: Verifies that AI agents can discover and invoke tools as expected.
  • Chrome DevTools Integration: Leverages browser developer tools for debugging and manual testing.
  • Use Case: Before deploying a new e-commerce tool built with WebMCP, use this Skill to run through a full checkout process with an AI agent to ensure every step, from product search to payment confirmation, works seamlessly.

Quick Start

Use the webmcp-testing skill to validate that the searchProducts tool correctly discovers and invokes with the query 'wireless headphones'.

Frequently Asked Questions about webmcp-testing

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

FAQPage Schema
How do I test WebMCP tools with AI agents before deployment?

You can test WebMCP tools with AI agents by running comprehensive validation workflows that include unit, schema, integration, agent, permission, and end-to-end testing to ensure correct tool discovery and execution.

What is the best way to validate an e-commerce checkout flow built with WebMCP?

The best way to validate an e-commerce checkout flow is to run end-to-end commerce testing with an AI agent, verifying every step from product search to payment confirmation works seamlessly before deployment.

How does agent validation work for WebMCP tool discovery?

Agent validation verifies that AI agents can correctly discover and invoke registered tools as expected, ensuring the tools are properly exposed and executable through comprehensive testing workflows.

Can I use Chrome DevTools to debug and manually invoke WebMCP tools?

Yes, Chrome DevTools integration supports debugging WebMCP tools by allowing you to manually invoke tools and inspect agent behavior directly within the browser developer environment.

What types of testing workflows are needed to validate WebMCP tools?

Validating WebMCP tools requires comprehensive testing workflows including unit, schema, integration, agent, permission, and end-to-end testing to ensure AI agents correctly discover and execute registered tools.