MCP For Claude Marketplace
LinkedIn Mention and Tag Distribution Checker

LinkedIn Mention and Tag Distribution Checker MCP Connector for Claude

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Quantify the strategic placement of @mentions and #hashtags in LinkedIn posts.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides analytical capabilities for LinkedIn content optimization. Use count_entities to tally @mentions and #hashtasts, and get_first_mention_distance to find the lead-in text length. You can also use analyze_tag_distribution to measure symbol clustering and verify_signature_placement to check for signature block usage.

linkedinanalyticscopywritingengagementsocial-media

4 tools expose this connector's capabilities to your AI agent.

analyze_tag_distribution

Analyze spacing between tags

verify_signature_placement

Check for signature in tail

get_first_mention_distance

Find distance to first symbol

count_entities

Count @ mentions and # hashtags in a post

See how to talk to your AI agent using LinkedIn Mention and Tag Distribution Checker.

Analyze this LinkedIn post for tag distribution: 'Excited to be joining the team! #newjob #hiring @acme_corp'

The post contains 2 hashtags and 1 mention. The first symbol appears at index 45.

Check if my LinkedIn post has a good signature block: 'Great day at the office! #worklife @team'

The signature block check shows symbols are present in the final 50 characters.

How many mentions and hashtags are in this text? 'Hello world #news @vinkius'

There is 1 mention and 1 hashtag found in the content.

It identifies the distribution and density of @mentions and #hashtags within your LinkedIn post text.

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