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by faical-yannick-congo • Uncategorized
An MCP server that embeds 4D scoring for AI workflows to evaluate human-AI collaboration quality.
Embed 4D scoring into AI workflows for quality assurance.
Expose AI output quality checks within IDEs or AI chat contexts.
Integrate human oversight and accountability into AI-assisted tasks.
The Fluently MCP Server integrates the 4D Framework scoring directly into AI contexts such as Claude or IDE plugins, exposing functions like score_delegation(), evaluate_discernment(), and check_diligence() to assess AI output quality. It enables teams and developers to verify and improve AI-human collaboration workflows by scoring delegation, description, discernment, and diligence dimensions. This helps ensure clarity, accountability, and quality in AI-assisted tasks.