URL Structure Analyzer Connector for AI agents.
3 live capabilities
Audit website slugs and directory depth for better search rankings.
Waiting for input…
Why people use URL Structure Analyzer
URL Structure Analyzer SEO Audit
This Connector changes that by letting your agent do the heavy lifting. You just feed it a list of links, and it spits out scores, identifies parameter noise, and tells you exactly how to fix the structure to meet industry standards.
What Vinkius changes
You get a clear path to fixing messy URLs without manual guessing.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Flattening deep folder structures
A content team wants to know if a new blog category URL is too deep for search engines to crawl easily.
- Real-world use case 02
Batch auditing product URLs
A web developer needs to check if a batch of 100 new product URLs stays under the 75-character limit.
- Real-world use case 03
Cleaning up tracking parameters
An SEO agency is auditing a client's site to find links with excessive query parameters that need cleaning.
Complete set · 3capabilities
The complete URL Structure Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with URL Structure Analyzer.
01—03
3 capabilities in this set.
Part of 3 available through URL Structure Analyzer.
- 01 Capability
Analyze url structure
Calculates an optimization score based on depth, length, and keywords. It gives you a clear idea of how well your slug performs for search engines.
- 02 Capability
Retrieve optimization benchmarks
Pulls the current industry standards for URL length and parameter counts. You can use these numbers to set clear goals for your site's link structure.
- 03 Capability
Validate url input
Checks if a string is a properly formatted URL with a valid domain and protocol. This ensures your agent doesn't try to analyze broken or incomplete link strings.
Set up in minutes
One URL. Then ask URL Structure Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use URL Structure 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_KiwU24WkQb9R21DSaca7Hqln6ZaP4qTc7MoaXndm/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 URL Structure Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable URL Structure Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KiwU24WkQb9R21DSaca7Hqln6ZaP4qTc7MoaXndm/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 URL Structure Analyzer URL.
- Step 03
Save and start
Save the connection and enable URL Structure Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"url-structure-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_KiwU24WkQb9R21DSaca7Hqln6ZaP4qTc7MoaXndm/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 URL Structure Analyzer
Open Agent mode in chat and ask: "Using URL Structure Analyzer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"url-structure-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_KiwU24WkQb9R21DSaca7Hqln6ZaP4qTc7MoaXndm/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 URL Structure Analyzer
Ask Copilot: "Using URL Structure Analyzer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"url-structure-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_KiwU24WkQb9R21DSaca7Hqln6ZaP4qTc7MoaXndm/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 URL Structure Analyzer
Open Cascade and ask: "Using URL Structure Analyzer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"url-structure-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_KiwU24WkQb9R21DSaca7Hqln6ZaP4qTc7MoaXndm/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 URL Structure Analyzer
Ask Cline: "Using URL Structure Analyzer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add url-structure-analyzer --transport http "https://edge.vinkius.com/vk_preview_KiwU24WkQb9R21DSaca7Hqln6ZaP4qTc7MoaXndm/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 URL Structure Analyzer
Ask Claude: "Using URL Structure Analyzer, show me...". 3 tools are ready
Where the request belongs
Work URL Structure Analyzer can move forward.
SEO specialists who need to audit hundreds of pages, web developers checking new routes for technical debt, and content managers verifying that new blog posts have clean, keyword-rich URLs.
SEO Specialist
Auditing hundreds of product pages to ensure slugs are clean and indexed correctly.
Web Developer
Checking new routes during the staging phase to prevent technical SEO debt.
Content Manager
Verifying that new blog posts have URLs that actually make sense for users and search engines.
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Bring your own AI
Change the model, client or framework. Keep URL Structure Analyzer connected.
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ChatGPT -
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VS Code -
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Before you connect
Questions about URL Structure Analyzer.
The practical details behind the request, access and result.
Can the URL Structure Analyzer check my website links?
Yes, it evaluates the structure of any URL you provide to see if it meets SEO best practices.
How does this help my search rankings?
By identifying over-nested folders and messy parameters, it helps ensure your pages are easy for search engines to crawl and understand.
What kind of scores does the URL Structure Analyzer give?
It provides an optimization score based on directory depth, character length, and the presence of query parameters.
Can I use it to find missing keywords in my slugs?
Yes, you can provide a target keyword and the capability will check if it's properly represented in the URL slug.
Does it check if a link is actually broken?
No, it only analyzes the structure of the URL string. It doesn't check if the page is live or returns a 404 error.
What are the standard limits for URL length?
You can ask the capability to pull the current optimization benchmarks to see the recommended character counts and folder depths.
What does the optimization score represent?
The score (0-100) represents how well a URL follows SEO best practices regarding structure, length, and clarity.
How can I check for keyword relevance?
When using analyze_url_structure, provide a targetKeyword parameter to see if that specific term exists within the URL slug.
What are 'alerts' in the analysis?
Alerts are human-readable warnings that highlight specific issues, such as excessive directory depth or too and many query parameters.
One connection away
Give your agent a direct line to URL Structure Analyzer.
Connect URL Structure Analyzer once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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