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Readability Score Analyzer MCP, Ready to Go

Use Claude or Cursor with the Readability Score Analyzer MCP to check text grade levels and linguistic complexity for your content and brand.

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No credit card required. Experience the power of this integration risk-free.

Ensure your content hits the right grade level for every reader.

Readability Score Analyzer MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Readability Score Analyzer MCP Server?

705ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 11 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 491ms
Average 705ms
Max 2162ms
Trend (improving) ↓ 43%
Daily latency
2162ms 7/11/2026
1054ms 7/12/2026
812ms 7/13/2026
814ms 7/14/2026
790ms 7/15/2026
709ms 7/16/2026
533ms 7/17/2026
660ms 7/20/2026
885ms 7/21/2026
608ms 7/22/2026
491ms 7/23/2026
7/11/2026 7/23/2026

Waiting for input…

AI Agent

What AI agents can do with Readability Score Analyzer: 1 Tool for Content Complexity

Use analyze_readability to get instant scores on your text's complexity and grade level to ensure your content stays accessible to your audience.

Analyze readability

Get a full breakdown of readability scores and linguistic metrics for any piece of text. This helps you ensure your writing hits the correct grade level for your audience.

One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.

You're looking at one of 5,800+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Readability Score Analyzer for Content Complexity Analysis

This is for the content creators who need to hit a specific grade level, the editors who have to manage thousands of words a day, and the technical writers who need to make complex info simple.

Content Marketing Manager

Ensuring blog posts are accessible to non-experts without losing authority.

Technical Writer

Simplifying dense documentation so users can actually follow instructions.

Copy Editor

Quickly scanning large batches of text to maintain a consistent brand voice.

Educator

Checking if lesson materials match the intended grade level of the students.

Frequently Asked Questions

Can Readability Score Analyzer tell me what grade level my text is? +

Yes, it provides the Flesch-Kincaid Grade Level, which tells you what school grade your writing corresponds to. This helps you ensure your content isn't too complex for your target audience.

How does Readability Score Analyzer help with content marketing? +

It helps you maintain a consistent brand voice. You can check different blog posts or ads to make sure they all hit the same readability targets, ensuring your message is consistent across all channels.

Can I use Readability Score Analyzer to find passive voice? +

Yes, it identifies passive voice throughout your text. This allows you to quickly find and fix indirect phrasing to make your writing more direct and engaging.

What is the SMOG Index and does Readability Score Analyzer use it? +

The SMOG Index is a formula that estimates the years of education needed to understand a text. This MCP includes it in the report so you can get a highly accurate view of your text's complexity.

How does this help with technical documentation? +

It helps you verify that your instructions are actually easy to follow. By checking syllable density and sentence length, you can simplify dense technical jargon for your users.

Can I use Readability Score Analyzer on very long documents? +

You can analyze sections of your document to see how they perform. It's best used to check specific paragraphs or pages to ensure they meet your readability goals.

What formulas are used for the analysis? +

The analyzer uses several industry-standard formulas: Flesch Reading Ease, Flesche-Kincaid Grade Level, Gunning Fog Index, SMOG Index, Coleman-Liau Index, and the Automated Readability Index (ARI).

Can I detect passive voice in my text? +

Yes, the tool can identify and quantify the presence of passive voice constructions within your provided text.

Does it support languages other than English? +

Currently, the analyzer is optimized specifically for English language text analysis.

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No credit card required · Free tier available

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