Cognitive Load Scorer

Cognitive Load Scorer MCP Connector for Claude

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Quantify the mental effort required to process text by measuring linguistic complexity.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Cognitive Load Scorer is an analytical engine designed to measure 'cognitive friction'--the extra processing time a reader experiences when encountering difficult linguistic patterns. By using tools like analyze_syntactic_structure, evaluate_lexical_difficulty, and calculate_working_memory_load, this MCP server quantifies structural complexity, vocabulary difficulty, and memory pressure in any given text.

text-analysiscognitive-loadlinguisticsreadabilitynlp

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

evaluate_lexical_difficulty

Evaluate the lexical difficulty of a text

analyze_syntactic_structure

Analyze the syntactic structure of a text

calculate_working_memory_load

Calculate the working memory load of a text

See how to talk to your AI agent using Cognitive Load Scorer.

How complex is this sentence: 'The researcher, who had studied the phenomenon for decades, noted that the results were not unexpected.'

The syntactic structure analysis shows a clause depth of 2 and a negation density score reflecting the use of 'not unexpected'.

Analyze the vocabulary in: 'The implementation of the API via RESTful architecture requires authentication.'

The lexical difficulty evaluation indicates a high decoding overhead due to technical terms like 'API', 'RESTful', and 'architecture'.

Check the memory load of this list: 'Please bring pens, paper, notebooks, folders, and staples.'

The working memory load calculation shows a high list pressure and a buffer usage estimate of 5 distinct items.

It determines structural effort by calculating maximum nested clause depth and negation density within your text.

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