Job Posting Inclusivity Analyzer

Job Posting Inclusivity Analyzer MCP Connector for Claude

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Scan job descriptions for gendered language, unrealistic requirements, and technical jargon.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Job Posting Inclusivity Analyzer helps recruiters and hiring managers identify hidden linguistic barriers in job advertisements. By using tools like analyze_gender_bias, analyze_demand_stringency, and analyze_text_accessibility, it evaluates text for masculine or feminine coded language, identifies high-intensity requirement language, and assesses technical jargon density to promote more inclusive hiring practices.

inclusivityhiringdiversityjob-postingstext-analysisbias-detection

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

analyze_text_accessibility

Determines if the posting is readable for a general audience

analyze_demand_stringency

Measures the intensity of candidate requirements and use of hyperbole

analyze_gender_bias

Evaluates the posting for masculine or feminine language influence

See how to talk to your AI agent using Job Posting Inclusivity Analyzer.

Analyze this job posting for gender bias: 'We are looking for a dominant and competitive software engineer to lead our team.'

The analysis shows a masculine-coded lean with a net bias score indicating higher frequency of masculine terms.

Check this posting for unrealistic demands: 'Must be a coding ninja with 20+ years of experience in every single framework.'

The tool detected extreme demand stringency, specifically identifying the hyperbolic persona 'ninja' and an unrealistic experience threshold.

Is this job description accessible? 'The candidate must understand Kubernetes, Docker, and CI/CD pipelines within a highly complex ecosystem.'

The analysis identified several acronyms (Kubernetes, Docker, CI/CD) and a technical jargon density that may impact readability for general audiences.

The `analyze_gender_bias` tool compares your text against masculine-coded and feminine-coded word lexicons to calculate a net bias score.

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