MCP server for runtime quality validation of AI agent outputs β hallucination detection, scope compl
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Runtime quality validation for AI agent outputs. Detect hallucinations, enforce scope compliance, and score output quality β all via MCP.
Score agent output against configurable criteria: length limits, required keywords, forbidden patterns, and factual claim density.
Estimate hallucination likelihood. With source text, checks sentence-level grounding. Without source, flags outputs dense with specific numbers, dates, and URLs.
Validate output against a scope contract β allowed/forbidden topics, word limits, required sections.
Store validation results for per-agent trending.
Analyze common failure modes for a specific agent.
Quality dashboard across all validated agents β no parameters required.
qc://dashboard β Quality metrics for all validated agentsMIT
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