A
licenseA
qualityF
maintenanceEnables AI agents to perform conversational accessibility testing with actionable insights, code-level fixes, and support for authenticated sessions and batch audits.
22
3 npm
1
MIT
Accessibility MCP Server
by dallask
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TDQS
A3.7/5.0
Scored across 22 tools
Disambiguation5/5
Each tool targets a distinct functionality: auditing, session management, scoring, prioritization, explanation, fixes, comparison, tracking, compliance, exports, filtering, searching, aggregation, statistics, dashboard, and summary. The four export tools differ by output format, and the three report generators serve different purposes. No two tools appear to do the same thing.
Naming Consistency4/5
The vast majority follow a clear snake_case verb_noun pattern (e.g., get_accessibility_score, generate_compliance_report, filter_issues). Minor deviations like audit_multiple_urls and audit_with_session break the strict verb_noun structure but remain intuitive and consistent in style (lowercase, underscores).
Tool Count4/5
At 22 tools, the count is slightly heavy (above the ideal 3-15 range) but is justified by the comprehensive scope of accessibility testing: auditing, analysis, reporting, exports, and compliance. Each tool covers a distinct feature, so the number feels earned rather than bloated.
Completeness5/5
The toolset provides complete coverage of the accessibility audit lifecycle: running audits (single, multiple, with sessions), analyzing results (scoring, prioritization, explanations, quick fixes), tracking progress (comparison, trends), compliance reporting (WCAG, VPAT, ADA), and various export/filter/aggregation options. No obvious dead ends; all core workflows are supported.
Maintenance
ActivityInactive
ResponsivenessNo issues