Score text readability (Flesch, SMOG, ARI, grade level) via mcp-readability (npx)

{
  "server": "mcp-readability",
  "version": "1.0.0",
  "launch": "npx -y mcp-readability",
  "transport": "stdio",
  "request": {
    "method": "tools/call",
    "params": {
      "name": "analyze_readability",
      "arguments": {
        "text": "Artificial intelligence has transformed how software engineers build and deploy applications. Modern language models can understand natural language instructions, generate code, and reason about complex systems. However, developers must still verify outputs carefully, because models can produce plausible-sounding but incorrect results. The key is to treat AI as a powerful assistant rather than an infallible oracle. Testing, code review, and human judgment remain essential parts of the development workflow.",
        "include_suggestions": true
      }
    }
  },
  "response": {
    "scores": {
      "flesch_reading_ease": 19.9,
      "flesch_kincaid_grade": 13.9,
      "smog_index": 14,
      "ari": 14.9
    },
    "reading_level": "College (13th–16th grade)",
    "audience": "College students / professionals",
    "stats": {
      "word_count": 69,
      "sentence_count": 5,
      "syllable_count": 141,
      "avg_words_per_sentence": 13.8,
      "avg_syllables_per_word": 2.04
    },
    "summary": "Flesch Reading Ease: 19.9 | FK Grade: 13.9 | SMOG: 14 | ARI: 14.9 — College (13th–16th grade) (69 words, 5 sentences)",
    "suggestions": ["1 word has 5+ syllables — consider simpler alternatives: plausible-sounding"]
  }
}