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WCAG.com Accessibility MCP Server for LlamaIndex 4 tools — connect in under 2 minutes

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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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python
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())
WCAG.com Accessibility
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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.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Data-first architecture: LlamaIndex agents combine WCAG.com Accessibility tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain WCAG.com Accessibility tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query WCAG.com Accessibility, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine WCAG.com Accessibility real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query WCAG.com Accessibility to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying WCAG.com Accessibility for fresh data

04

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:

01

audit_url_accessibility

1 standards to identify accessibility issues and compliance markers. Perform a WCAG accessibility audit on a specific URL

02

check_api_status

com Accessibility API. Check if the WCAG.com service is operational

03

get_wcag_guideline_details

Get detailed metadata and recommendations for a specific WCAG guideline

04

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.

01

"Perform an accessibility audit on 'https://example.com' using WCAG.com."

02

"What are the requirements for WCAG guideline '1.1.1'?"

03

"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.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

WCAG.com Accessibility + LlamaIndex FAQ

Common questions about integrating WCAG.com Accessibility MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query WCAG.com Accessibility tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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.