Long-Tail Extractor Connector for AI agents.
3 live capabilities
Discover high-value long-tail keywords and recurring phrases in your content.
Waiting for input…
Why people use Long-Tail Extractor
Long-Tail Extractor SEO Keyword Discovery
This Connector changes that by letting your agent do the heavy lifting. You just feed it the content, and it pulls out every recurring sequence of words. You get a structured list of phrases, their counts, and their positions. It turns a multi-hour audit into a few seconds of processing.
What Vinkius changes
You get a data-backed list of recurring phrases without having to read through every single word yourself.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Audit a blog library
An SEO manager asks the agent to find every 4-word phrase appearing more than 5 times across 50 articles to check for brand consistency.
- Real-world use case 02
Analyze customer reviews
A product manager uses the agent to scan 1,000 reviews and identify the most common 3-word phrases customers use to describe a product.
- Real-world use case 03
Refine ad copy
A copywriter asks the agent to check the density of a specific call-to-action phrase to see if it's overused in a landing page.
Complete set · 3capabilities
The complete Long-Tail Extractor capability set.
These are the exact actions your AI can choose when you ask it to work with Long-Tail Extractor.
01—03
3 capabilities in this set.
Part of 3 available through Long-Tail Extractor.
- 01 Capability
Calculate pattern density
Shows you what percentage of your total text is made up of a specific recurring phrase. This helps measure content balance.
- 02 Capability
Extract ngram sequences
Scans your text to find and count every 3, 4, and 5-word phrase it finds. This helps you identify recurring patterns instantly.
- 03 Capability
Filter high frequency patterns
Removes any phrases that don't meet your minimum count. Use this to focus on the most common data points.
Set up in minutes
One URL. Then ask Long-Tail Extractor to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Long-Tail Extractor 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_C9KvCRnQRkMIt9JmZl1RL6gQADHKTCr9uzYj4nO7/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 Long-Tail Extractor, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Long-Tail Extractor for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_C9KvCRnQRkMIt9JmZl1RL6gQADHKTCr9uzYj4nO7/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 Long-Tail Extractor URL.
- Step 03
Save and start
Save the connection and enable Long-Tail Extractor in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"long-tail-extractor": {
"url": "https://edge.vinkius.com/vk_preview_C9KvCRnQRkMIt9JmZl1RL6gQADHKTCr9uzYj4nO7/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 Long-Tail Extractor
Open Agent mode in chat and ask: "Using Long-Tail Extractor, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"long-tail-extractor": {
"url": "https://edge.vinkius.com/vk_preview_C9KvCRnQRkMIt9JmZl1RL6gQADHKTCr9uzYj4nO7/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 Long-Tail Extractor
Ask Copilot: "Using Long-Tail Extractor, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"long-tail-extractor": {
"url": "https://edge.vinkius.com/vk_preview_C9KvCRnQRkMIt9JmZl1RL6gQADHKTCr9uzYj4nO7/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 Long-Tail Extractor
Open Cascade and ask: "Using Long-Tail Extractor, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"long-tail-extractor": {
"url": "https://edge.vinkius.com/vk_preview_C9KvCRnQRkMIt9JmZl1RL6gQADHKTCr9uzYj4nO7/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 Long-Tail Extractor
Ask Cline: "Using Long-Tail Extractor, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add long-tail-extractor --transport http "https://edge.vinkius.com/vk_preview_C9KvCRnQRkMIt9JmZl1RL6gQADHKTCr9uzYj4nO7/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 Long-Tail Extractor
Ask Claude: "Using Long-Tail Extractor, show me...". 3 tools are ready
Where the request belongs
Work Long-Tail Extractor can move forward.
This is for SEO specialists and content strategists who are tired of manual keyword research and want to see exactly how their content behaves at scale.
SEO Specialist
Analyzes large content libraries to find high-value, low-competition long-tail keywords.
Content Strategist
Audits brand voice across multiple articles to ensure consistent messaging.
Data Analyst
Extracts linguistic patterns from customer reviews or transcripts to identify recurring themes.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
LSI Keyword Finder
Extract semantically related keywords using co-occurrence, synonyms, and morphological variations.
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.
Keyword Density Analyzer
Calculate keyword frequency, density percentage, and spatial distribution in text to optimize SEO content.
Keyword Extractor
Extract and rank significant keywords from text using term frequency and density analysis.
Context Redundancy Deduplicator
Identify overlapping N-grams across RAG documents to calculate redundancy and byte-size savings.
Bring your own AI
Change the model, client or framework. Keep Long-Tail Extractor 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 Long-Tail Extractor.
The practical details behind the request, access and result.
What is the Long-Tail Extractor MCP for?
It helps you find repeating word sequences in your text to discover long-tail keywords for SEO and content strategy.
Can I use the Long-Tail Extractor MCP to find brand consistency?
Yes, you can scan your content to see how often specific brand phrases appear across different pages.
Does the Long-Tail Extractor MCP work for customer reviews?
It's perfect for scanning large amounts of feedback to find common 3, 4, or 5-word phrases customers use.
How does the Long-Tail Extractor MCP help with SEO?
It identifies specific long-tail phrases that are often missed by broader keyword capabilities but are highly relevant to your audience.
Can I filter the results with the Long-Tail Extractor MCP?
Yes, you can set a minimum frequency so your agent only shows you the most common patterns.
What kind of phrases does the Long-Tail Extractor MCP find?
It specifically looks for contiguous blocks of 3, 4, and 5 words to identify meaningful sequences.
Will the Long-Tail Extractor MCP help me with content audits?
It automates the tedious part of auditing content by providing precise data on phrase frequency and location.
What are n-grams?
N-grams are contiguous sequences of $n$ items from a given sample of text. In this capability, we focus on sequences of 3, 4, and 5 words.
How can I use `extract_ngram_sequences`?
Provide the raw text you want to analyze via the sourceText parameter. You can also specify a minimum and maximum n-gram size.
What is the purpose of density calculation?
The calculate_pattern_density capability calculates how often a phrase appears relative to the total word count, helping you distinguish significant patterns from isolated occurrences.
One connection away
Give your agent a direct line to Long-Tail Extractor.
Connect Long-Tail Extractor once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available