WCAG.com Accessibility MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WCAG.com Accessibility as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to WCAG.com Accessibility. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in WCAG.com Accessibility?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About WCAG.com Accessibility MCP Server
Empower your AI agent to orchestrate your entire web accessibility and inclusive design workflow with WCAG.com, the authoritative source for digital compliance data. By connecting the WCAG.com API to your agent, you transform complex accessibility audits into a natural conversation. Your agent can instantly analyze URLs for WCAG 2.1 compliance, audit specific issues and levels, and retrieve detailed remediation metadata without you ever touching a technical validator. Whether you are conducting quality assurance research or managing regional accessibility constraints, your agent acts as a real-time inclusive design consultant, ensuring your data is always verified and precise.
LlamaIndex agents combine WCAG.com Accessibility tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Accessibility Auditing — Retrieve high-resolution reports for any URL, identifying issues and maintain a clear view of WCAG compliance.
- Guideline Oversight — Audit specific WCAG guidelines to understand the technical reach of your digital products instantly.
- Issue Discovery — Search for accessibility rules and standards to identify relevant stylistic markers for your UI components.
- Metadata Intelligence — Retrieve unique issue identifiers and remediation recommendations to assist in deep-dive classification.
- Operational Monitoring — Check API status to ensure your accessibility research workflow is always operational.
The WCAG.com Accessibility MCP Server exposes 4 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect WCAG.com Accessibility to LlamaIndex via MCP
Follow these steps to integrate the WCAG.com Accessibility MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 4 tools from WCAG.com Accessibility
Why Use LlamaIndex with the WCAG.com Accessibility MCP Server
LlamaIndex provides unique advantages when paired with WCAG.com Accessibility through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine WCAG.com Accessibility tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain WCAG.com Accessibility tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query WCAG.com Accessibility, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what WCAG.com Accessibility tools were called, what data was returned, and how it influenced the final answer
WCAG.com Accessibility + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the WCAG.com Accessibility MCP Server delivers measurable value.
Hybrid search: combine WCAG.com Accessibility real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query WCAG.com Accessibility to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying WCAG.com Accessibility for fresh data
Analytical workflows: chain WCAG.com Accessibility queries with LlamaIndex's data connectors to build multi-source analytical reports
WCAG.com Accessibility MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect WCAG.com Accessibility to LlamaIndex via MCP:
audit_url_accessibility
1 standards to identify accessibility issues and compliance markers. Perform a WCAG accessibility audit on a specific URL
check_api_status
com Accessibility API. Check if the WCAG.com service is operational
get_wcag_guideline_details
Get detailed metadata and recommendations for a specific WCAG guideline
list_accessibility_rules
List all accessibility rules used by the WCAG auditing engine
Example Prompts for WCAG.com Accessibility in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with WCAG.com Accessibility immediately.
"Perform an accessibility audit on 'https://example.com' using WCAG.com."
"What are the requirements for WCAG guideline '1.1.1'?"
"List all accessibility rules used by the engine."
Troubleshooting WCAG.com Accessibility MCP Server with LlamaIndex
Common issues when connecting WCAG.com Accessibility to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWCAG.com Accessibility + LlamaIndex FAQ
Common questions about integrating WCAG.com Accessibility MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect WCAG.com Accessibility with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect WCAG.com Accessibility to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
