How to Use the Color Contrast Checker MCP in LlamaIndex
Index accessibility audits into your LlamaIndex knowledge base to ground design decisions in real WCAG data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Color Contrast Checker MCP to LlamaIndex
Create your Vinkius account to connect Color Contrast Checker to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Ground LlamaIndex RAG in actual contrast data
Stop letting your RAG pipeline hallucinate accessibility compliance. By integrating this MCP server with your knowledge agent, you can index the results of `check_color_contrast` directly into your LlamaIndex vector store. Your LlamaIndex agent can query past design decisions and find out exactly why a certain palette was chosen. It uses actual WCAG compliance metrics instead of guessing what looks readable.
Audit surface contrasts automatically
Checking text readability on clean surfaces is straightforward with tools like `check_text_on_pure_white` and `check_text_on_pure_black`. Your LlamaIndex agent can run these checks across your entire UI component library and index the results. When building new interfaces, the LlamaIndex agent searches this index to find compliant background-foreground pairs. It keeps your design system consistent without running redundant API calls.
Validate dark mode and error states
Complex interfaces require checking specialized states. Use `check_dark_mode_surface` and `check_danger_text_contrast` to verify that error logs and dark theme cards remain readable in your LlamaIndex RAG application. The agent saves these specific contrast ratios in your LlamaIndex vector database. You get a searchable history of your application's visual compliance over time.
Set up Color Contrast Checker MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Color Contrast Checker MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Color Contrast Checker tools.",
)
response = await agent.run("List recent Color Contrast Checker data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WCAG Color Contrast. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Color Contrast Checker MCP in LlamaIndex
Use it with your favorite AI tools
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