LinkedIn Analytics Connector for AI agents.
4 live capabilities
Audit hashtag placement and mention density for LinkedIn content optimization.
Waiting for input…
Why people use LinkedIn Analytics
LinkedIn Mention and Tag Distribution Checker for Social Media Audit
This Connector changes that by turning your content into data. You just feed the text to your agent, and it tells you exactly how many symbols you have and where they sit. You get a clear picture of your post's structure in seconds, so you can stop guessing and start hitting your engagement goals.
What Vinkius changes
You get a data-backed audit of your post's structural layout.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Checking the 'See More' cutoff
A copywriter wants to know if their first mention is visible before the text truncates.
- Real-world use case 02
Agency brand audits
A social media agency audits a client's monthly feed to ensure the signature block is consistently at the tail using verify_signature_placement.
- Real-world use case 03
Spam prevention
A creator wants to make sure they haven't overused hashtags.
Complete set · 4capabilities
The complete LinkedIn Analytics capability set.
These are the exact actions your AI can choose when you ask it to work with LinkedIn Analytics.
01—04
4 capabilities in this set.
Part of 4 available through LinkedIn Analytics.
- 01 Capability
Get first mention distance
Calculates how many characters appear before your first tag. You can use this to ensure your hook isn't buried or cut off.
- 02 Capability
Verify signature placement
Checks if your signature block is located at the very end of your post. It prevents your contact info from being lost in the middle of your copy.
- 03 Capability
Analyze tag distribution
Measures the spacing between your tags to see how they are clustered. This ensures your content looks clean and professional.
- 04 Capability
Count entities
Tells you the exact number of hashtags and mentions in your post. This helps you stay within platform limits to avoid being flagged as spam.
Set up in minutes
One URL. Then ask LinkedIn Analytics to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LinkedIn Analytics 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_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/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 LinkedIn Analytics, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LinkedIn Analytics for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/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 LinkedIn Analytics URL.
- Step 03
Save and start
Save the connection and enable LinkedIn Analytics in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-mention-and-tag-distribution-checker": {
"url": "https://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/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 LinkedIn Analytics
Open Agent mode in chat and ask: "Using LinkedIn Analytics, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-mention-and-tag-distribution-checker": {
"url": "https://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/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 LinkedIn Analytics
Ask Copilot: "Using LinkedIn Analytics, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-mention-and-tag-distribution-checker": {
"url": "https://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/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 LinkedIn Analytics
Open Cascade and ask: "Using LinkedIn Analytics, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-mention-and-tag-distribution-checker": {
"url": "https://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/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 LinkedIn Analytics
Ask Cline: "Using LinkedIn Analytics, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add linkedin-mention-and-tag-distribution-checker --transport http "https://edge.vinkius.com/vk_preview_aglEFPxqAfh7kJcSFchoLtCiDhn6MJcxVPCWNq2e/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 LinkedIn Analytics
Ask Claude: "Using LinkedIn Analytics, show me...". 4 tools are ready
Where the request belongs
Work LinkedIn Analytics can move forward.
This is for social media managers and copywriters who need to maintain strict brand standards and optimize for LinkedIn's specific layout requirements.
Social Media Manager
Auditing dozens of daily posts to ensure hashtags and signatures meet brand guidelines.
Freelance Copywriter
Proving to clients that their LinkedIn content is structured for maximum reach.
Content Strategist
Analyzing historical post performance to refine tag distribution rules for the whole team.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
LinkedIn Hashtag Strategy Validator
Analyze LinkedIn hashtag usage for density, accessibility, and strategic positioning.
LinkedIn Engagement Scorer
Quantify the effectiveness of LinkedIn post Call-to-Actions (CT0As) and engagement triggers in text.
LinkedIn Post Optimizer
Audit LinkedIn posts for truncation, hook strength, and engagement triggers.
LinkedIn Authority Signal Calculator
Quantify thought-leadership and authority markers in LinkedIn posts.
LinkedIn Hook Truncation Analyzer
Analyze LinkedIn post hooks for visibility, truncation, and engagement potential.
LinkedIn Link Penalty and Placement Analyzer
Analyzes LinkedIn post text to identify external link placement risks and bypass phrase detection.
Bring your own AI
Change the model, client or framework. Keep LinkedIn Analytics connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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Vercel AI SDK
Before you connect
Questions about LinkedIn Analytics.
The practical details behind the request, access and result.
Can the LinkedIn Mention and Tag Distribution Checker help with the 'See More' cut-off?
Yes, it calculates the exact distance to your first tag so you can see if it appears before the text gets truncated. This helps you ensure your most important info is visible.
How does the LinkedIn Mention and Tag Distribution Checker count my tags?
It scans your text and gives you a total count of every #hashtag and @mention in one go. This is great for staying within platform limits.
Can I use the LinkedIn Mention and Tag Distribution Checker to check my email signature?
It specifically looks for signature blocks at the tail of your post to ensure your contact info isn't buried in the middle of your copy.
Does the LinkedIn Mention and Tag Distribution Checker analyze my tag spacing?
Yes, it measures the gaps between your hashtags to help you avoid looking like you're spamming symbols, ensuring a cleaner look for your audience.
Is the LinkedIn Mention and Tag Distribution Checker good for high-volume agencies?
It's built for it. You can quickly audit dozens of drafts to ensure they meet your brand's structural requirements without manual counting.
What happens if I have no tags in my post?
The capability will simply return a count of zero and tell you that no symbols were detected in the content.
What does this capability analyze?
It identifies the distribution and density of @mentions and #hashtags within your LinkedIn post text.
How is clustering measured?
The analyze_tag_distribution capability calculates the standard deviation of gaps between symbols to determine if they are clumped or evenly spaced.
Can it detect signature blocks?
Yes, use verify_signature_placement to see if mentions appear in the final 50 characters of your post.
One connection away
Give your agent a direct line to LinkedIn Analytics.
Connect LinkedIn Analytics once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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