A
licenseNot graded
qualityC
maintenanceEnables AI agents to perform end-to-end web testing by controlling a real browser through tools for navigation, interaction, state inspection, screenshots, and script evaluation.
MIT
QA Testing MCP Server
by jpa012401
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TDQS
A3.7/5.0
Scored across 7 tools
Disambiguation4/5
Each of the five test tools targets a clearly distinct testing dimension (visual, functional, performance, accessibility, SEO), so misselection is unlikely. The only overlap is run_full_test, which subsumes all individual tests plus generate_report, but the descriptions explicitly clarify when to use each.
Naming Consistency4/5
Six of seven tools follow the predictable run_<type>_test verb_noun pattern. generate_report breaks the pattern slightly but remains readable and describes a distinct action.
Tool Count5/5
Seven tools is well-scoped for a QA testing server, with one tool per test category plus a runner/report generator. Each tool earns its place without redundancy.
Completeness4/5
The surface covers the major QA dimensions (visual, functional, performance, accessibility, SEO), a full-suite runner, and report generation, forming a complete workflow. Minor gaps exist around setup/configuration or exporting raw test data, but agents can work around these.
Maintenance
ActivityInactive
ResponsivenessNo issues