LinkedIn Authority Signal Calculator

LinkedIn Authority Signal Calculator MCP Connector for Claude

A+

Quantify thought-leadership and authority markers in LinkedIn posts.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a suite of linguistic analysis tools to measure professional influence on LinkedIn. Use get_customer_centricity_ratio to see if your content focuses on the reader, get_data_point_density to quantify evidence-based claims, get_definitive_statement_count to identify conviction through absolute language, and get_self_promotion_ratio to monitor brand mentions. It transforms qualitative text into quantitative authority metrics.

linkedincontent-strategytext-analysisthought-leadershipmetrics

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

get_data_point_density

Quantify the evidence-based nature of the text

get_definitive_statement_count

Measure the level of conviction and certainty in the writing

get_self_promotion_ratio

Identify if the post is primarily promotional or educational

get_customer_centricity_ratio

Returns a ratio. Determine if the content focuses on the reader or the author

See how to talk to your AI agent using LinkedIn Authority Signal Calculator.

Analyze this LinkedIn post for authority: 'I am excited to announce that our team at TechCorp achieved 20% growth this year. We always strive for excellence.'

Customer-centricity ratio: 0.0. Data point density: 15.0 per 100 words. Definitive statement count: 1.

How much self-promotion is in this text? 'Check out my new book on LinkedIn marketing. It's available now at mystore.com.'

Self-promotion ratio: 0.12 (based on 'my' and 'mystore.com' relative to word count).

Evaluate the conviction in this statement: 'You must always follow the rules of engagement.'

Definitive statement count: 2 ('must', 'always').

The tool compares the frequency of audience-focused pronouns like 'you' and 'your' against author-focused pronouns such as 'I', 'we', or 'my'.

Related Connectors