What accessibility standards does it check?

It checks against both WCAG 2.1 Level AA (minimum 4.5:1 for normal text, 3:1 for large text) and Level AAA (7:1 for normal text, 4.5:1 for large text).

Color Contrast Checker MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: Color Contrast Checker
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Color Contrast Checker as an MCP tool provider through 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 Color Contrast Checker. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Color Contrast Checker?"
    )
    print(response)

asyncio.run(main())

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About Color Contrast Checker MCP Server

Connect Color Contrast Checker to your AI agent and validate WCAG accessibility compliance for any color combination.

LlamaIndex agents combine Color Contrast Checker tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through 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

Custom Contrast Checks — Test any foreground/background color pair against WCAG AA and AAA standards
Preset Scenarios — Quickly check text on white, text on black, white text on colors, and black text on colors
Dark Mode Validation — Verify color contrast for dark mode UI designs
Light Mode Validation — Ensure readability in light theme interfaces
Accessibility Reporting — Get instant pass/fail reports with contrast ratios

The Color Contrast Checker MCP Server exposes 8 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 Color Contrast Checker to LlamaIndex via MCP

Follow these steps to integrate the Color Contrast Checker 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 8 tools from Color Contrast Checker

Why Use LlamaIndex with the Color Contrast Checker MCP Server

LlamaIndex provides unique advantages when paired with Color Contrast Checker through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Color Contrast Checker tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Color Contrast Checker tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Color Contrast Checker, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Color Contrast Checker tools were called, what data was returned, and how it influenced the final answer

Color Contrast Checker + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Color Contrast Checker MCP Server delivers measurable value.

Hybrid search: combine Color Contrast Checker real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Color Contrast Checker 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 Color Contrast Checker for fresh data

Analytical workflows: chain Color Contrast Checker queries with LlamaIndex's data connectors to build multi-source analytical reports

Color Contrast Checker MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Color Contrast Checker to LlamaIndex via MCP:

check_black_text_on_bg

Check contrast of pure black text against a specific background

check_color_contrast

1 contrast ratio for a specific foreground and background color pair to audit visual accessibility. Check the WCAG contrast ratio between a foreground and background color

check_danger_text_contrast

Check contrast of standard danger/error red text on a background

check_dark_mode_surface

Check contrast against a standard dark mode surface

check_light_mode_surface

Check contrast against a standard light mode surface

check_text_on_pure_black

Check contrast of a text color against a pure black background

check_text_on_pure_white

Check contrast of a text color against a pure white background

check_white_text_on_bg

Check contrast of pure white text against a specific background

Example Prompts for Color Contrast Checker in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Color Contrast Checker immediately.

"Check if #3B82F6 works on a white background for body text."

Troubleshooting Color Contrast Checker MCP Server with LlamaIndex

Common issues when connecting Color Contrast Checker to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Color Contrast Checker + LlamaIndex FAQ

Common questions about integrating Color Contrast Checker MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Color Contrast Checker tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.