A11y▌
by priyankark
Quickly test website accessibility and fix issues using A11y, an advanced web accessibility checker powered by axe-core
Perform accessibility audits on webpages using axe-core. Use the results in an agentic loop with your favorite AI assistants (Cline/Cursor/GH Copilot) and let them fix a11y issues for you.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Frontend developers fixing accessibility issues
- / QA teams validating web accessibility
- / Automated accessibility testing workflows
capabilities
- / Audit webpages for accessibility violations
- / Generate summaries of accessibility issues
- / Filter audits by WCAG criteria
- / Include HTML snippets for debugging
- / Check against specific accessibility tags
what it does
Performs accessibility audits on webpages using axe-core and provides detailed results that AI assistants can use to fix accessibility issues.
about
A11y is a community-built MCP server published by priyankark that provides AI assistants with tools and capabilities via the Model Context Protocol. Quickly test website accessibility and fix issues using A11y, an advanced web accessibility checker powered by axe-core It is categorized under developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install A11y in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MPL-2.0
A11y is released under the MPL-2.0 license.
readme
A11y MCP Server
An MCP (Model Context Protocol) server for performing accessibility audits on webpages using axe-core. Use the results in an agentic loop with your favorite AI assistants (Cline/Cursor/GH Copilot) and let them fix a11y issues for you!
<a href="https://glama.ai/mcp/servers/@priyankark/a11y-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@priyankark/a11y-mcp/badge" alt="a11y-mcp MCP server" /> </a>Features
- Perform detailed accessibility audits on any webpage
- Get a summary of accessibility issues
- Filter audits by specific WCAG criteria
- Include HTML snippets in the results for easier debugging
Installation
# Install globally
npm install -g a11y-mcp
# Or use directly with npx
npx a11y-mcp
Configuration
To use this MCP server with Cline, you need to add it to your MCP settings configuration file.
MCP configuration
Add the following to the mcpServers object:
{
"mcpServers": {
"a11y": {
"command": "npx",
"args": ["a11y-mcp"],
"disabled": false,
"autoApprove": []
}
}
}
Available Tools
audit_webpage
Performs a detailed accessibility audit on a webpage.
Parameters:
url(required): URL of the webpage to auditincludeHtml(optional): Whether to include HTML snippets in the results (default: false)tags(optional): Array of specific accessibility tags to check (e.g., wcag2a, wcag2aa, wcag21a, best-practice)
Example:
Use the a11y MCP server to audit example.com for accessibility issues
get_summary
Gets a summary of accessibility issues for a webpage.
Parameters:
url(required): URL of the webpage to audit
Example:
Give me an accessibility summary of example.com
Example Usage
Once configured, you can ask Claude to use the MCP server to perform accessibility audits:
- "Can you check example.com for accessibility issues?"
- "Audit my website at https://mywebsite.com for WCAG 2.1 AA compliance"
- "Give me a summary of accessibility issues on https://example.com"
- "Check if my local development server at http://localhost:3000 has any critical accessibility problems"
Development
To run the server locally for development:
npm start
Releasing
This project includes a release script to help with versioning and publishing to npm. The script handles version bumping, running tests, git tagging, and npm publishing.
To release a new version:
# Make sure the script is executable
chmod +x release.sh
# Release a patch version (default)
./release.sh
# Release a minor version
./release.sh --minor
# Release a major version
./release.sh --major
# Release a specific version
./release.sh --version=1.2.3
# Skip git operations
./release.sh --skip-git
# Dry run (no changes will be made)
./release.sh --dry-run
# Force release even with uncommitted changes
./release.sh --force
For more information, run:
./release.sh --help
License
MPL 2.0
Credits
This project builds atop the awesome work done by axe-core
FAQ
- What is the A11y MCP server?
- A11y is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for A11y?
- This profile displays 73 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★73 reviews- ★★★★★Chaitanya Patil· Dec 24, 2024
According to our notes, A11y benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Amina Kapoor· Dec 12, 2024
A11y has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Anaya Bansal· Dec 12, 2024
I recommend A11y for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Amina Perez· Dec 4, 2024
A11y is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Hiroshi Harris· Nov 23, 2024
A11y has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Noah Smith· Nov 19, 2024
Strong directory entry: A11y surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Piyush G· Nov 15, 2024
We wired A11y into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Amina Dixit· Nov 3, 2024
A11y is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Fatima Park· Nov 3, 2024
We evaluated A11y against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ren Ndlovu· Oct 22, 2024
We wired A11y into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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