Content Length Scorer MCP for AI. Know the perfect word count for any piece of copy.
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Content Length Scorer analyzes your writing against industry standards for content types. It tells you if micro-copy, standard descriptions, or pillar posts are too short, too long, or just right for their intended purpose.
What your AI can do
Analyze content compliance
Checks if a specific block of text meets the length rules for its intended purpose.
Get type thresholds
Retrieves the exact minimum and maximum word count targets for any given content category.
List supported intents
Provides a full list of every content type that this scorer can analyze.
View a list of all defined categories the scorer can evaluate your copy against.
Get the specific minimum and maximum word count range for any selected content type.
Run a piece of writing through the system to see if its current length is optimal, too short, or excessive.
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Content Length Scorer: 3 Tools
These tools let you analyze text against specific content rules to ensure your writing hits the ideal word count for its intended purpose.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Content Length Scorer on VinkiusAnalyze Content Compliance
Checks if a specific block of text meets the length rules for its intended purpose.
Get Type Thresholds
Retrieves the exact minimum and maximum word count targets for any given content...
List Supported Intents
Provides a full list of every content type that this scorer can analyze.
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
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Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
Start with Content Length Scorer, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 3 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The Struggle of Vague Content Guidelines
Every content team deals with this: a style guide says 'write enough,' or 'keep it concise.' You end up cross-referencing old SEO reports, checking if the copy feels thin against the original draft, and spending twenty minutes arguing about whether 180 words is close enough to optimal.
With this MCP, you skip the debate. You simply tell your agent what kind of content it is—say, 'standard descriptions'—and it instantly pulls up the exact word count range needed. Then, running your draft gives you a clear grade: are you right there in the sweet spot, or do you need to flesh out that section?
Content Length Scorer: Know Your Boundaries
The manual process of checking content length requires multiple steps: first finding all possible types of content; then looking up the rules for *your* specific type; and finally, comparing your text against those two numbers. It's a three-step mental checklist.
Now, you just run the checks in sequence through this MCP. You get an immediate answer on compliance status without opening a spreadsheet or consulting a manual. The process is direct, fast, and reliable.
What your AI can actually do with this
Writing copy that hits the mark isn't just about what you say; it's about how much you say. This MCP evaluates your text against established word count boundaries based on whether the content is meant to be a quick callout, a detailed landing page section, or a long-form blog post.
You can first run through all available categories using this service and then check specific texts. The system reveals if your copy falls below minimum requirements, hits the sweet spot, or runs way over. This deep analysis lets you know exactly what range you need to target before writing a single word.
By connecting via Vinkius, you get access to industry-vetted metrics for every type of content.
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Here's how it actually works
The bottom line is you stop guessing about length and start writing only within proven boundaries.
First, list all supported content types to confirm your category (e.g., 'micro-copy' or 'pillar post').
Next, retrieve the specific target word count range for that selected type.
Finally, input your text and run it through the compliance check to get a pass/fail status.
Who is this actually for?
SEO Content Managers, Copywriters, and Digital Marketing Specialists who dread manually checking content guidelines are the primary users. If your job involves making sure every piece of copy meets specific character or word count rules for different platforms, this is for you.
Uses this MCP to guarantee that newly written blog posts hit the ideal minimum word count before passing them off to an editor.
Checks micro-copy and button text against optimal length requirements so the messaging is punchy but not too vague.
Validates that landing page descriptions align with established benchmarks for standard web content, preventing user drop-off due to perceived incompleteness.
What Changes When You Connect
Stops you from publishing content that's too brief. By using analyze_content_compliance, your agent immediately flags text as 'BELOW' optimal standards, so you know exactly what needs padding or expansion.
Saves time by automating guideline checks. Instead of looking up word count rules in a spreadsheet, use get_type_thresholds to pull the precise min/max words for any content type instantly.
Eliminates guesswork about content types. You can run through all available categories using list_supported_intents to build your workflow playbook before you even start writing.
Ensures consistency across platforms. Whether it's a tiny button or a huge pillar post, this MCP keeps your brand voice hitting the right length every time.
Reduces back-and-forth revisions. Knowing the technical boundaries upfront means your drafts are closer to final quality on the first pass.
See it in action
The short product description is failing conversion rates.
A marketing specialist needs to update a dozen product pages quickly. They use list_supported_intents to verify 'standard descriptions' are supported, then run the existing copy through analyze_content_compliance. The system flags them all as 'BELOW', guiding the team on exactly how many more words they need.
Writing a long-form guide for SEO that feels thin.
A technical writer is building a pillar post. They first use get_type_thresholds to find out the optimal range for 'pillar blog posts.' When they run their draft through analyze_content_compliance, it confirms the document is significantly below target, prompting them to expand key sections.
Creating micro-copy that feels too wordy.
A UX designer needs copy for a new checkout flow. They check the optimal range using get_type_thresholds for 'micro-copy.' When they run their initial draft through, the system flags it as 'EXCESSIVE,' forcing them to cut jargon and get punchier.
Vetting a new content pillar against old guidelines.
A team lead wants to make sure all new guides are compliant. They use list_supported_intents to confirm the type, then feed the draft into analyze_content_compliance. The tool gives an immediate grade (BELOW/OPTIMAL/EXCESSIVE) against established best practices.
The honest tradeoffs
Just checking word count manually
Copy-pasting text into a generic counter and hoping it matches the internal SEO guide. This ignores content type, which is everything.
You must first use list_supported_intents to know your category, then run that category through get_type_thresholds before finally checking compliance with analyze_content_compliance.
Ignoring the content type boundary
Writing a 200-word piece and thinking it's great, only to find out that for its intended purpose (like micro-copy), 200 words is far too much.
Always check your context first. Use get_type_thresholds so you know the required range before writing a single word.
Treating all content as equally important
Assuming that a standard website description needs the same length rules as a pillar blog post, leading to mismatched copy.
The system separates these concerns. Use list_supported_intents and then query the specific requirements using get_type_thresholds for accurate results.
When It Fits, When It Doesn't
Use this MCP if your primary concern is measurable, industry-standard length compliance based on content intent. If you're writing a piece of copy, but you don't know what the ideal length should be, or if you can’t tell if the existing text meets those guidelines, this tool solves it. Don't use it if your problem is tone, keyword density, or factual accuracy—those require different analysis tools. This MCP only cares about word count boundaries; it doesn't judge quality, just quantity relative to purpose.
Questions you might have
How does `analyze_content_compliance` work? +
analyze_content_compliance takes your text and tells you if it's 'BELOW,' 'OPTIMAL,' or 'EXCESSIVE' compared to the rules for its intended content type.
What do I use `get_type_thresholds` for? +
Use get_type_thresholds when you need precise data. It pulls the minimum and maximum word count numbers for a specific category, like 'micro-copy.'
Do I need to use `list_supported_intents` first? +
It's smart to check with list_supported_intents first. It shows you every content type the system recognizes, preventing errors if your content is niche.
`analyze_content_compliance` vs. manual checking, what's better? +
The MCP approach is better because it combines all steps into one check. You get a single compliance grade instead of just a raw word count number.
If I use `analyze_content_compliance` with text exceeding 5,000 words, what happens? +
The tool will return a specific input size error. The response body includes documentation detailing the maximum token limit and suggesting you split the content into smaller chunks for analysis.
What error message should I expect if `get_type_thresholds` receives an unsupported category name? +
You'll receive a clear validation failure. The response body tells you exactly which parameters are mandatory and cross-references the valid options available via list_supported_intents.
Are there rate limits when calling `analyze_content_compliance` repeatedly? +
Yes, Vinkius enforces standard usage limits. The API response includes a header that shows the exact time you can call the tool again to prevent throttling issues.
When integrating this MCP, how does `list_supported_intents` help with setup? +
It provides an exhaustive list of all usable content types. You use these returned categories to ensure your agent has the correct context before attempting any compliance checks.
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