EDS Block Analyser MCP Server

EDS Block Analyser MCP Server

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Category
Visit Server

README

EDS Block Analyser MCP Server

A Model Context Protocol (MCP) server that provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks.

What it does

This MCP server provides a single tool that returns a comprehensive UI architect prompt for analyzing and estimating the effort required to convert Figma designs or web pages into modular, reusable UI blocks. The prompt guides AI assistants to perform thorough analysis focusing on component structure, effort estimation, and implementation approach.

Features

  • Component Analysis: Identifies UI components from Figma designs or web pages
  • Effort Estimation: Uses T-shirt sizing (S, M, L, XL, XXL) for complexity assessment
  • CSV Output: Provides structured output in CSV format for easy processing
  • Performance Focus: Targets Lighthouse score of 100
  • Modular Design: Emphasizes reusable, independent UI blocks
  • Plain Tech Stack: Focuses on vanilla JavaScript and CSS without frameworks

Installation

Global Installation

npm install -g eds-block-analyser-mcp-server-test

Local Installation

npm install eds-block-analyser-mcp-server-test

Usage

With Claude Desktop

Add this to your Claude Desktop configuration file:

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "eds-block-analyser": {
      "command": "npx",
      "args": ["eds-block-analyser-mcp-server-test"]
    }
  }
}

With MCP Client

import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js';

const transport = new StdioClientTransport({
  command: 'npx',
  args: ['eds-block-analyser-mcp-server-test']
});

const client = new Client({
  name: 'my-client',
  version: '1.0.0'
}, {
  capabilities: {}
});

await client.connect(transport);

// Use the tool
const result = await client.callTool({
  name: 'eds_block_analyser'
});

console.log(result.content[0].text);

Available Tools

eds_block_analyser

  • Description: Get a UI architect prompt for analyzing and estimating UI block conversion
  • Parameters: None
  • Returns: A comprehensive prompt for UI block analysis and effort estimation

The prompt includes:

  • Role definition as UI Architect
  • Task description for Figma/web page conversion
  • Context about blocks, tech stack, and performance requirements
  • Few-shot examples for guidance
  • Strict CSV output format requirements

Output Format

The tool provides a prompt that generates CSV output with the following columns:

  • Page Title
  • UI Component Name
  • Function description
  • Tshirt Sizing (S, M, L, XL, XXL)
  • Complexity justification
  • Other remarks

Development

Clone and Setup

git clone https://github.com/kalimuthu-a/eds-block-analyser-mcp-server-test.git
cd eds-block-analyser-mcp-server-test
npm install

Run Locally

npm start

Test with MCP Inspector

npx @modelcontextprotocol/inspector npx eds-block-analyser-mcp-server-test

Requirements

  • Node.js >= 18.0.0
  • @modelcontextprotocol/sdk ^0.4.0

License

MIT

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

Support

If you encounter any issues, please file them on the GitHub repository.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured