Integration Guide for Text Readability Analyzer

Overview

The Text Readability Analyzer MCP server provides comprehensive text readability analysis using industry-standard metrics. Perfect for content creators, educators, technical writers, and anyone who needs to optimize text readability for their audience.

Configuration

Add the Text Readability Analyzer MCP server to your MCP client configuration:

{
  "mcpServers": {
    "text-readability-analyzer": {
      "command": "curl",
      "args": [
        "-X", "POST",
        "https://apistack.online/api/mcp/analytics/text-readability-analyzer/sse",
        "-H", "Content-Type: application/json",
        "-H", "Authorization: Bearer YOUR_API_KEY",
        "--data-raw", "@-"
      ],
      "transport": "sse"
    }
  }
}

Replace YOUR_API_KEY with your APIStack API key from the Dashboard.

Usage Examples

Example 1: Analyze Text Readability

// Analyze text for all readability metrics
const result = await mcpClient.callTool('analyze_text_readability', {
  text: 'Your content here. This tool analyzes readability using multiple proven metrics.',
  includeStatistics: true,
  includeRecommendations: true
});

Example 2: Get Targeted Recommendations

// Get recommendations for a specific audience
const result = await mcpClient.callTool('get_readability_recommendations', {
  text: 'Your content here to analyze and improve.',
  targetAudience: 'general-public',
  focusAreas: ['sentence-length', 'vocabulary']
});

Example 3: Compare Two Texts

// Compare readability of two versions
const result = await mcpClient.callTool('compare_text_readability', {
  text1: 'Original version of your content.',
  text2: 'Revised version of your content.',
  comparisonMetrics: ['all']
});

Readability Metrics Explained

• Flesch Reading Ease: 0-100 scale (higher = easier)
• Flesch-Kincaid Grade: US grade level required
• SMOG Index: Years of education needed
• ARI: Grade level (character-based)
• Coleman-Liau: Grade level (character-based)

Code Examples

JavaScript Example

// Text Readability Analyzer MCP Client Example
const response = await fetch('https://apistack.online/api/mcp/analytics/text-readability-analyzer/sse', {
    method: 'POST',
    headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
    },
    body: JSON.stringify({
        jsonrpc: '2.0',
        id: 'req-1',
        method: 'tools/call',
        params: {
            name: 'analyze_text_readability',
            arguments: {
                text: 'Your text content for comprehensive readability analysis.',
                includeStatistics: true,
                includeRecommendations: true
            }
        }
    })
});

const result = await response.json();
console.log(result);

Python Example

# Text Readability Analyzer MCP Client Example
import requests

response = requests.post(
    'https://apistack.online/api/mcp/analytics/text-readability-analyzer/sse',
    headers={
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
    },
    json={
        'jsonrpc': '2.0',
        'id': 'req-1',
        'method': 'tools/call',
        'params': {
            'name': 'get_readability_recommendations',
            'arguments': {
                'text': 'Your text for analysis and recommendations.',
                'targetAudience': 'general-public',
                'focusAreas': ['sentence-length', 'vocabulary', 'complexity']
            }
        }
    }
)

result = response.json()
print(result)

cURL Example

# Text Readability Analyzer MCP Client Example
curl -X POST https://apistack.online/api/mcp/analytics/text-readability-analyzer/sse \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "jsonrpc": "2.0",
    "id": "req-1",
    "method": "tools/call",
    "params": {
        "name": "compare_text_readability",
        "arguments": {
            "text1": "Your original text version here.",
            "text2": "Your revised text version here.",
            "comparisonMetrics": ["all"]
        }
    }
}'