Keyword Density Analyzer Connector for AI agents.
5 live capabilities
Audit your content for keyword frequency and SEO density.
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Why people use Keyword Density Analyzer
Keyword Density Analyzer for SEO Content Auditing
This Connector changes that by giving your AI client a way to audit your copy instantly. You just hand over the text and ask for a breakdown. You get the exact counts, density percentages, and a map of where those words live, so you can make editorial decisions based on actual data.
What Vinkius changes
You get a precise audit of your content's keyword health in seconds.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Checking blog post density
A content writer wants to know if 'sustainable fashion' is used too much in a 2,000-word guide.
- Real-world use case 02
Preventing keyword stuffing
An SEO agency needs to verify that a landing page doesn't have keyword stuffing in the first paragraph.
- Real-world use case 03
Verifying product keywords
A blog manager wants to make sure a new post hits the 1% to 3% sweet spot for a specific product name.
Complete set · 5capabilities
The complete Keyword Density Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with Keyword Density Analyzer.
01—03
3 capabilities in this set.
Part of 5 available through Keyword Density Analyzer.
- 01 Capability
Count keyword occurrences
Get exact numbers of target terms in any piece of text.
- 02 Capability
Calculate density percentages
See what percentage of your total word count is made up of a specific keyword.
- 03 Capability
Identify keyword clustering
Find out if your keywords are grouped together or spread out evenly.
04—05
2 capabilities in this set.
Part of 5 available through Keyword Density Analyzer.
- 04 Capability
Audit SEO compliance
Check if your keyword density stays within the safe 1% to 3% range.
- 05 Capability
Map spatial distribution
Visualize where keywords appear throughout your document's structure.
Set up in minutes
One URL. Then ask Keyword Density Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Keyword Density 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_3HTLr4SUxluqOuvTeW1Z2IdFr6uODvjFf5VFhprs/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 Keyword Density Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Keyword Density Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_3HTLr4SUxluqOuvTeW1Z2IdFr6uODvjFf5VFhprs/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 Keyword Density Analyzer URL.
- Step 03
Save and start
Save the connection and enable Keyword Density Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"keyword-density-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_3HTLr4SUxluqOuvTeW1Z2IdFr6uODvjFf5VFhprs/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 Keyword Density Analyzer
Open Agent mode in chat and ask: "Using Keyword Density Analyzer, help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"keyword-density-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_3HTLr4SUxluqOuvTeW1Z2IdFr6uODvjFf5VFhprs/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 Keyword Density Analyzer
Ask Copilot: "Using Keyword Density Analyzer, help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"keyword-density-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_3HTLr4SUxluqOuvTeW1Z2IdFr6uODvjFf5VFhprs/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 Keyword Density Analyzer
Open Cascade and ask: "Using Keyword Density Analyzer, help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"keyword-density-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_3HTLr4SUxluqOuvTeW1Z2IdFr6uODvjFf5VFhprs/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 Keyword Density Analyzer
Ask Cline: "Using Keyword Density Analyzer, help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add keyword-density-analyzer --transport http "https://edge.vinkius.com/vk_preview_3HTLr4SUxluqOuvTeW1Z2IdFr6uODvjFf5VFhprs/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 Keyword Density Analyzer
Ask Claude: "Using Keyword Density Analyzer, show me...". 5 tools are ready
Where the request belongs
Work Keyword Density Analyzer can move forward.
This is for SEO specialists and content marketers who need to move fast without guessing. It's for the copywriter who's worried about keyword stuffing or the agency lead who needs to verify content before it goes live.
SEO Specialist
Audits long-form articles to ensure they hit specific keyword targets without triggering search engine penalties.
Content Marketer
Quickly checks multiple blog posts to maintain a consistent brand voice and keyword strategy across a site.
Copy Editor
Verifies that a client's requested keywords are actually present and distributed naturally throughout a landing page.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Keyword Proximity Checker
Analyze text to measure the word distance between keywords for SEO relevance.
Content Gap Identifier
Identify missing keywords and topics by comparing your content against competitors using TF density analysis.
Readability & SEO Scorer
Audit text for SEO performance using Flesch-Kincaid, sentence density, and passive voice analysis.
SEO On-Page Copy Analyzer
Analyze keyword density, meta tag truncation, and heading coverage for SEO optimization.
Keyword Extractor
Extract and rank significant keywords from text using term frequency and density analysis.
Twitter Microcopy Density Analyzer
Analyze text density and impact for micro-blogging constraints.
Bring your own AI
Change the model, client or framework. Keep Keyword Density 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 Keyword Density Analyzer.
The practical details behind the request, access and result.
What does the Keyword Density Analyzer MCP do?
It helps you measure how often specific words appear in your content. It provides the exact count, the percentage of total text, and shows you where those words are located.
How can I use Keyword Density Analyzer to avoid SEO penalties?
You can use check_density_compliance to make sure your keyword usage stays between 1% and 3%. This helps prevent keyword stuffing, which is a common reason for search engine penalties.
Can the Keyword Density Analyzer find where my keywords are hidden?
Yes, it uses map_keyword_distribution to show you exactly where your target terms appear. This helps you see if they are spread out naturally or if they are all clumped in one spot.
Is this capability good for long-form blog posts?
It's perfect for long content. You can ask your AI client to analyze a 2,000-word guide to ensure your primary keywords are distributed evenly throughout the entire piece.
How does this help with my content strategy?
It gives you hard data. Instead of guessing if you've included your target terms enough, you get a clear report on density and placement to guide your editing.
Will the Keyword Density Analyzer tell me if my writing is good?
It doesn't judge your creative writing. It focuses specifically on the technical side of keyword frequency and distribution to help with SEO optimization.
How do I check if my keyword density is too high?
Use the check_density_compliance capability with your calculated percentage to see if it falls into the 'High' risk tier. Capabilities available: your_tool_name.
Can I see where keywords are located in my text?
Yes, the map_keyword_distribution capability provides the exact word indices and relative positions of every occurrence.
What is the ideal keyword density?
For optimal SEO performance, aim for a density between 1% and 3%.
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