Readability Score Analyzer Connector for AI agents.
1 live capability
Ensure your content hits the right grade level for every reader.
Waiting for input…
Why people use Readability Score Analyzer
Readability Score Analyzer for Content Complexity Analysis
With this Connector, you just hand your text to your agent. It runs the numbers on your behalf, giving you a clear set of indices like Flesch Reading Ease and the SMOG Index. You get a data-driven snapshot of your writing's complexity so you can make precise edits in seconds.
What Vinkius changes
You get a data-driven report on whether your writing is actually readable for your target audience.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Simplifying technical manuals
A technical writer has a dense paragraph on API auth.
- Real-world use case 02
Optimizing blog content
A marketer wants to make sure a post is readable for a 10th-grade level.
- Real-world use case 03
Checking academic thesis flow
A student wants to see if their thesis introduction is too dense.
Complete set · 1capability
The complete Readability Score Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with Readability Score Analyzer.
01
1 capability in this set.
Part of 1 available through Readability Score Analyzer.
- 01 Capability
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.
Set up in minutes
One URL. Then ask Readability Score Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Readability Score Analyzer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Readability Score Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Readability Score Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Readability Score Analyzer URL.
- Step 03
Save and start
Save the connection and enable Readability Score Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"readability-score-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Readability Score Analyzer
Open Agent mode in chat and ask: "Using Readability Score Analyzer, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"readability-score-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Readability Score Analyzer
Ask Copilot: "Using Readability Score Analyzer, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"readability-score-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Readability Score Analyzer
Open Cascade and ask: "Using Readability Score Analyzer, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"readability-score-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Readability Score Analyzer
Ask Cline: "Using Readability Score Analyzer, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add readability-score-analyzer --transport http "https://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Readability Score Analyzer
Ask Claude: "Using Readability Score Analyzer, show me...". 1 tools are ready
Where the request belongs
Work Readability Score Analyzer can move forward.
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.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsText Readability Scorer
Calculate mathematically accurate readability metrics (Flesch-Kincaid, Gunning Fog, SMOG) for any text. Stop relying on AI 'feelings'. get exact US grade levels for SEO and compliance.
Deterministic Readability Scorer
Equip your AI with strict linguistic math. Calculate Flesch-Kincaid, Gunning Fog indexes, and exact reading times deterministically.
Cognitive Load Scorer
Quantify the mental effort required to process text by measuring linguistic complexity.
Readability & SEO Scorer
Audit text for SEO performance using Flesch-Kincaid, sentence density, and passive voice analysis.
Legal Plain Language Scorer
Analyze legal text for readability, syntax complexity, and defined term consistency.
FAQ Clarity Analyzer
Audit FAQ content for naturalness, complexity, and readability consistency.
Bring your own AI
Change the model, client or framework. Keep Readability Score Analyzer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Readability Score Analyzer.
The practical details behind the request, access and result.
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 Connector 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 capability 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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