Content Length Benchmark Analyzer Connector for AI agents.
3 live capabilities
Audit your marketing copy for readability and word count targets.
Waiting for input…
Why people use Content Length Benchmark Analyzer
Content Length Benchmark Analyzer for Copywriting Audits
With this Connector, you can just paste your copy and get an instant audit. It checks your word counts against established benchmarks and tells you exactly how far off you are from the target, saving you from the manual counting loop.
What Vinkius changes
You get instant feedback on your copy length without manual counting.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Landing Page Hero Audit
A copywriter asks the agent to check if a new hero section is too long.
- Real-world use case 02
Mobile Readability Check
A content manager wants to know if a blog post will be hard to read on a phone.
- Real-world use case 03
Brand Consistency Audit
A strategist wants to ensure all social ads have a similar word count.
Complete set · 3capabilities
The complete Content Length Benchmark Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with Content Length Benchmark Analyzer.
01—03
3 capabilities in this set.
Part of 3 available through Content Length Benchmark Analyzer.
- 01 Capability
Analyze scannability
This capability analyzes text for mobile scannability. It tells you if your paragraphs are too long for a phone screen.
- 02 Capability
Check benchmark deviations
This capability compares your text metrics against marketing benchmarks. Use it to see how far off your copy is from a target range.
- 03 Capability
Get text metrics
This capability extracts basic linguistic counts like words and sentences. It provides the raw numbers you need for a quick audit.
Set up in minutes
One URL. Then ask Content Length Benchmark Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Content Length Benchmark 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_K4FuBTMiO9f0YXeXC7C9PNru92yNbYeQdwK98GTf/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 Content Length Benchmark Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Content Length Benchmark Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_K4FuBTMiO9f0YXeXC7C9PNru92yNbYeQdwK98GTf/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 Content Length Benchmark Analyzer URL.
- Step 03
Save and start
Save the connection and enable Content Length Benchmark Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"content-length-benchmark-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_K4FuBTMiO9f0YXeXC7C9PNru92yNbYeQdwK98GTf/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 Content Length Benchmark Analyzer
Open Agent mode in chat and ask: "Using Content Length Benchmark Analyzer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"content-length-benchmark-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_K4FuBTMiO9f0YXeXC7C9PNru92yNbYeQdwK98GTf/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 Content Length Benchmark Analyzer
Ask Copilot: "Using Content Length Benchmark Analyzer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"content-length-benchmark-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_K4FuBTMiO9f0YXeXC7C9PNru92yNbYeQdwK98GTf/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 Content Length Benchmark Analyzer
Open Cascade and ask: "Using Content Length Benchmark Analyzer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"content-length-benchmark-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_K4FuBTMiO9f0YXeXC7C9PNru92yNbYeQdwK98GTf/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 Content Length Benchmark Analyzer
Ask Cline: "Using Content Length Benchmark Analyzer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add content-length-benchmark-analyzer --transport http "https://edge.vinkius.com/vk_preview_K4FuBTMiO9f0YXeXC7C9PNru92yNbYeQdwK98GTf/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 Content Length Benchmark Analyzer
Ask Claude: "Using Content Length Benchmark Analyzer, show me...". 3 tools are ready
Where the request belongs
Work Content Length Benchmark Analyzer can move forward.
This is for content creators who need to hit strict word counts or ensure that their marketing copy is actually readable on a mobile screen.
Copywriter
Checks if a new landing page hero hits the target word count before sending it to the design team.
Content Strategist
Audits a multi-channel campaign to ensure consistent length and density across all assets.
SEO Specialist
Verifies that blog posts have appropriate paragraph distribution for better readability scores.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Narrative Structure Analyzer
Detect storytelling frameworks, tension ratios, and compositional quality in long-form copy.
Sentence Rhythm Analyzer
Analyze prose rhythm, sentence length variance, and structural scannability.
Referral Program Copy Scorer
Analyze referral program marketing copy for clarity, friction, and effectiveness.
Conversion Funnel Copy Scorer
Analyze marketing funnel stages for message match, friction words, and CTA alignment.
Content Length Scorer
Analyze text word counts against industry-standard length benchmarks based on content intent.
Readability & SEO Scorer
Audit text for SEO performance using Flesch-Kincaid, sentence density, and passive voice analysis.
Bring your own AI
Change the model, client or framework. Keep Content Length Benchmark Analyzer connected.
-
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 Content Length Benchmark Analyzer.
The practical details behind the request, access and result.
Can the Content Length Benchmark Analyzer check my blog posts?
Yes, it can extract word and sentence counts to help you see if your content fits your target length.
How does Content Length Benchmark Analyzer help with mobile users?
It looks at paragraph distribution to ensure your text doesn't look like a wall of text on a phone.
What kind of benchmarks does the Content Length Benchmark Analyzer use?
It compares your text against common marketing formats like landing page heroes and blog intros.
Will Content Length Benchmark Analyzer help my SEO?
By ensuring your content is scannable and follows structural best practices, it helps keep readers engaged.
Can I use Content Length Benchmark Analyzer for my landing page?
Yes, it can identify if your hero section is too long or too short compared to standard benchmarks.
Is Content Length Benchmark Analyzer good for brand consistency?
It helps you keep the same length and density across different pieces of marketing content.
What metrics can I extract from my text?
Using the get_text_metrics capability, you can retrieve total word counts, sentence counts, paragraph counts, and line break frequency.
How does the analyzer handle different content types?
The check_benchmark_deviations capability compares your text metrics against specific benchmarks for formats like Landing Page Hero, Blog Intro, and Email Body.
Can I check if my content is optimized for mobile reading?
Yes, the analyze_scannability capability evaluates paragraph length distribution and white-space density to determine if your text meets mobile scannability thresholds.
One connection away
Give your agent a direct line to Content Length Benchmark Analyzer.
Connect Content Length Benchmark Analyzer once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available