# Text Readability Scorer MCP for AI Agents AI Agent Connect > Text Readability Scorer calculates mathematically accurate readability metrics like Flesch-Kincaid, Gunning Fog, and SMOG for any text. Stop guessing if your content is too complex. Get exact US grade levels to ensure your copy hits the right audience for SEO, marketing, and legal compliance. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_W9oYvTG1iKIoemfx3IYYV7gFBzYooLvoTGNLAkwk/ai-agent-connect - **Tags:** linguistics, readability-metrics, text-analysis, seo-optimization, compliance-checking, natural-language-processing ## Description Text Readability Scorer provides a way to get hard numbers on how difficult your writing actually is. When you ask your AI to check a blog post, it usually just tells you it sounds great, but that doesn't tell you if a mobile user can actually digest it. This Connector uses established linguistic formulas to calculate exact metrics like Flesch-Kincaid and SMOG scores. It turns subjective feedback into objective data. You can verify if your landing page hits a specific grade level or if your legal disclaimer is simple enough for a general audience. It's a huge step up for anyone who needs to hit specific SEO targets or meet accessibility standards. By adding this to your toolkit on Vinkius, you get a way to check your copy against industry standards instantly. You can move from 'it feels right' to 'it's at an 8th-grade level' with one request. Instead of guessing how your audience will react, you can identify specific paragraphs that are too dense and simplify them before they go live. This is especially useful for technical writers who need to break down complex concepts for a non-technical audience or for marketing teams who need to ensure high conversion rates on mobile devices. It gives you a definitive score that you can use in your reports and audits. ## Tools ### readability_scorer Calculates rigorous readability metrics like Flesch-Kincaid and SMOG for any text. This helps you ensure your content meets specific audience requirements for SEO or legal standards. ## Prompt Examples **Prompt:** ``` Analyze this landing page copy. We need it to be at an 8th-grade reading level to maximize conversions. ``` **Response:** ``` ### Readability Audit Results * **Flesch-Kincaid Grade:** 11.4 * **Reading Ease:** 42.1 * **Consensus:** 11th and 12th grade **Verdict:** Too complex. The current copy is hitting a high school level. I recommend simplifying the following sections to hit your 8th-grade target. ``` **Prompt:** ``` Our legal team says the new Terms of Service must be readable by a 6th grader. Verify the text. ``` **Response:** ``` ### Compliance Check * **Flesch-Kincaid Grade:** 6.2 * **Reading Ease:** 78.5 * **Status:** **PASSED** The text meets the requirement for 6th-grade readability. ``` **Prompt:** ``` Check the SMOG Index and Gunning Fog for this medical article before we publish it. ``` **Response:** ``` ### Academic Complexity Report * **SMOG Index:** 14.2 * **Gunning Fog:** 15.8 **Analysis:** This article is highly academic and requires college-level reading comprehension. You may want to simplify the terminology in the introduction for a general audience. ``` ## Capabilities ### Calculate Flesch-Kincaid grade levels Get a specific US grade level for any piece of text to ensure it meets your target audience's needs. ### Get Flesch Reading Ease scores Receive a 0 to 100 score to quickly judge how easily a general audience can read your copy. ### Run Gunning Fog and SMOG analyses Apply advanced linguistic formulas to detect complex vocabulary and sentence structures. ### Evaluate Coleman-Liau and ARI metrics Check additional readability indices to get a broader view of your text's complexity. ### Aggregate all scores into a consensus Get a single, definitive target audience level based on multiple different readability algorithms. ## Use Cases ### Landing page conversion optimization A marketer asks their agent to check a landing page. The agent uses readability_scorer to find a 12th-grade score and suggests simplifying the headline to an 8th-grade level. ### Legal compliance audit A legal officer asks to verify if new terms are readable by a 6th grader. The agent runs the check and confirms it meets the requirement. ### Medical article complexity check A health writer checks a medical article. The agent uses the SMOG index to identify sections that are too academic for a general audience. ### Technical doc simplification A writer wants to make a guide easier for beginners. The agent checks the Coleman-Liau score and flags complex sentences for revision. ## Benefits - Get exact grade levels using readability_scorer to hit specific audience targets for every piece of content. - Stop guessing and use Flesch-Kincaid to ensure your marketing copy isn't too dense for your customers. - Verify legal compliance by checking if terms of service meet 6th-grade readability requirements. - Optimize for mobile users by keeping Reading Ease scores high to improve overall engagement. - Use the consensus evaluation to see a definitive target audience level based on multiple algorithms. - Identify specific complex paragraphs in long-form content for targeted simplification. ## How It Works The bottom line is you get objective, mathematical proof of your text's complexity instead of just an AI's opinion. 1. Paste your copy into your AI client and ask for a readability check. 2. The agent sends the text to the Connector to run linguistic formulas. 3. You get a breakdown of grade levels and reading ease scores. ## Frequently Asked Questions **How does Text Readability Scorer help with SEO?** It provides objective scores that correlate with search engine preferences for readable content. You can quickly identify and simplify dense sections to help reduce your bounce rate. **Can I use Text Readability Scorer to check my legal documents?** Yes, it is perfect for verifying that terms of service or privacy policies are actually readable for your customers and meet specific grade-level requirements. **What is the Flesch-Kincaid score?** It is a standard formula that tells you what US grade level a piece of text corresponds to. This helps you ensure your content is reaching the right audience. **Does Text Readability Scorer work for long-form content?** Yes, it can analyze any amount of text you provide, from short social media posts to long-form white papers or medical articles. **How does Text Readability Scorer handle different reading styles?** It runs multiple algorithms like Gunning Fog and SMOG simultaneously and then gives you a consensus score to provide a more accurate picture of your text's difficulty. **Why should I use Text Readability Scorer instead of just asking my AI?** AI models are great at writing, but they aren't good at counting syllables or calculating complex linguistic formulas. This tool provides the mathematical proof you need for professional audits. **Why can't the LLM just estimate the reading level?** Readability formulas (like Flesch-Kincaid) require exact mathematical counts of syllables per word and words per sentence. LLMs operate on sub-word tokens, not syllables, making them notoriously bad at these calculations. This engine uses deterministic linguistic math. **What is a good Flesch Reading Ease score for web content?** For general consumer web content, aim for 60-70. This translates to an 8th-9th grade reading level, which is easily understood by 80% of adults. Legal or academic texts usually score in the 30s or lower. **Does this work for non-English text?** The formulas (Flesch, Fog, SMOG) were developed and calibrated specifically for the English language based on English syllable structures. While the engine will calculate a score for other languages, the grade-level mapping is only statistically accurate for English.