MCP For Claude Marketplace
Microcopy UX Friction Analyzer

Microcopy UX Friction Analyzer MCP Connector for Claude

A+

Audit UX microcopy for clarity, friction, and actionability.

5 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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The Microcopy UX Friction Analyzer helps designers and writers identify linguistic barriers in user interfaces. Using tools like evaluate_clarity_metrics, detect_linguistic_friction, verify_actionability, assess_reading_complexity, and check_element_redundancy, this MCP server analyzes error messages, labels, and tooltips to reduce cognitive load. It detects jargon, identifies user-blaming language, checks for action verbs, and flags redundant text elements.

microcopyux-auditusabilitycontent-designaccessibility

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

check_element_redundancy

Prevent information overlap between different UI microcopy components

evaluate_clarity_metrics

Determine how difficult a specific text string is to understand

verify_actionability

Check if an error message or instruction provides a clear path forward

assess_reading_complexity

Ensure microcopy aligns with the target demographic's reading proficiency

detect_linguistic_friction

Identify if microcopy is blaming the user or has a tone mismatch

See how to talk to your AI agent using Microcopy UX Friction Analyzer.

Analyze this error message for friction: 'You entered the wrong password.'

The message contains blame language. A more neutral alternative is: 'Password does and not match our records.'

Is the text 'Please click the submit button to continue' actionable?

Yes, the message is actionable because it contains the instruction verb 'click'.

Check if this label and input hint are redundant: Label: 'Email', Hint: 'Enter your email address'

A redundancy score of 0.8 was detected because the hint repeats information found in the label.

It calculates jargon density and average word length to determine how difficult a text string is to understand.

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