MCP Server

ai-eval

io.github.lazymac2x/ai-eval
AI & Agents Public & reachable MCP 2026-07-28

What this MCP does

Evaluates and compares AI responses using heuristic quality metrics such as relevance, structure, completeness, readability, and length.

compare_responses
Compare and rank multiple AI responses to the same prompt
Input schema
{'type': 'object', 'required': ['prompt', 'responses'], 'properties': {'prompt': {'type': 'string'}, 'responses': {'type': 'array', 'items': {'type': 'string'}, 'minItems': 2}}}
score_response
Score an AI response against a prompt using heuristic metrics (length, relevance, structure, completeness)
Input schema
{'type': 'object', 'required': ['prompt', 'response'], 'properties': {'prompt': {'type': 'string', 'description': 'The original prompt/question'}, 'criteria': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Optional keywords that should appear in response'}, 'response': {'type': 'string', 'description': 'The AI response to evaluate'}}}
text_metrics
Get text quality metrics: word count, sentence count, estimated tokens, readability grade
Input schema
{'type': 'object', 'required': ['text'], 'properties': {'text': {'type': 'string'}}}
Added
text_metrics
Sept. 17, 2026, 12:43 p.m.
Added
compare_responses
Sept. 17, 2026, 12:43 p.m.
Added
score_response
Sept. 17, 2026, 12:43 p.m.

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