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Analyze and refine user stories with ethical scoring and acceptance criteria.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "eff-mcp" yet — see the docs or source repo.
Use the Ethics Filter Framework to review this user story: As a user, I want the system to automatically recommend loan products so I can complete my application faster. Provide scoring across five ethical dimensions, potential risks, harm clauses, and actionable acceptance criteria.
Returns five-dimension ethical scores, risk notes, harm prevention clauses, and refined acceptance criteria.
Analyze and rewrite this requirement: As an operations manager, I want to prioritize premium plans for users in high-spending regions. Identify possible unfairness or discrimination issues, then provide a more compliant and fair user story version with acceptance criteria.
Highlights ethical issues in the original requirement and provides a fairer rewrite with matching acceptance criteria.
Ethically refine this AI feature user story: As a customer support lead, I want AI to automatically summarize customer conversations and recommend replies. Add harm clauses, failure scenarios, human review requirements, and testable acceptance criteria.
Produces AI-specific risk clauses, human oversight requirements, and practical testable acceptance criteria.
Extract, verify, cache, and search factual claims from text.
Build MCP servers with embedded reasoning for efficient complex task handling.
Connect AI apps to a shared knowledge graph for consistent retrieval and reasoning.
Run prompt and RAG evaluations through MCP clients with hosted backend execution.
Create feedback-driven AI workflows with user confirmation to reduce risky actions.
Provide AI agents with business context for e-commerce operations workflows.