How to Use the WCAG.com Accessibility MCP in LangChain

Q: How does WCAG.com Accessibility work with LangChain's observability?

Every tool call—like running listaccessibilityrules or checking guidelines—is tracked in LangSmith, giving you full visibility into the latency and inputs for every step of your compliance audit.

Q: Does WCAG.com Accessibility require specific setup for LangChain?

You use pip install langchain-mcp-adapters and then initialize your agent with the client connection details. The setup lets you treat the MCP Server like any other tool source.

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Connect WCAG.com Accessibility MCP to LangChain

Create your Vinkius account to connect WCAG.com Accessibility to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup WCAG.com Accessibility with LangChain

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Multi-Step Audits with the MCP Server

The `audit_url_accessibility` tool lets you run a deep WCAG audit on any specific URL. You can then chain this result to check API status using `check_api_status` to verify service uptime before reporting findings. This allows your ReAct agent to build complex compliance checks. The agent decides when and how to call these tools, ensuring the entire process works together.

Listing All WCAG Rules in a Chain

Want to know what rules the auditing engine uses? Call `list_accessibility_rules`. This function provides a clear inventory of every check the system performs. You can then pass this list of rules into another step, perhaps comparing them against internal standards or logging them for later review.

Getting WCAG Guideline Details

Use `get_wcag_guideline_details` to pull specific metadata and recommendations for a single WCAG guideline. It's useful when your agent needs granular context, not just a pass/fail score. This capability lets you enrich the final output of your chain. Your agent can gather detailed reasons *why* an issue exists, making the report much more valuable.

Setup guide

Set up WCAG.com Accessibility MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes WCAG.com Accessibility tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "wcagcom-accessibility-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent WCAG.com Accessibility transactions"
    })
    print(result["messages"][-1].content)

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Common questions about WCAG.com Accessibility MCP in LangChain

You integrate the MCP Server into your multi-step chain. Your agent treats the accessibility tools like any other API endpoint, deciding when to run `audit_url_accessibility` based on user input or previous data.

Yes. Since your agent controls the flow, you can build an entire pipeline: check API status first, then run `audit_url_accessibility`, and finally log all results into a vector store.

Every tool call—like running `list_accessibility_rules` or checking guidelines—is tracked in LangSmith, giving you full visibility into the latency and inputs for every step of your compliance audit.

This MCP Server primarily processes URLs to perform audits, guidelines metadata, and lists of accessibility rules. The resulting compliance data is what you'll pass through the chain.

You use `pip install langchain-mcp-adapters` and then initialize your agent with the client connection details. The setup lets you treat the MCP Server like any other tool source.

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