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Keshi Jain

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ProductLens MCP – An AI-powered Product Intelligence server that helps AI agents compare competing products, generate SWOT analyses, prioritize features, summarize customer feedback, and generate Product Requirement Documents (PRDs) using structured product data.

Elevator pitch AI agents instantly analyze competitors, synthesize feedback, and generate data-driven PRDs for product teams.

Industry Product Management & Competitive Intelligence

Problem

  • Manual competitive analysis consumes hours without systematic insights.
  • Scattered customer feedback lacks structured prioritization for roadmap decisions.

Solution

  • Unified product intelligence engine comparing features, pricing, and market positioning.
  • Automated SWOT, feedback synthesis, and PRD generation from structured data.

Tools

  • CompetitorAnalyzer: Fetch competitor products, features, pricing; return comparative matrix.
  • SWOTGenerator: Analyze product strengths, weaknesses, opportunities, threats; return structured report.
  • FeaturePrioritizer: Score features by customer demand, market gap, effort; return ranked list.
  • FeedbackSynthesizer: Aggregate customer reviews, support tickets; return sentiment themes and gaps.
  • PRDBuilder: Compile analysis outputs into formatted Product Requirement Document.

Widgets

  • /dashboard: Real-time competitor comparison, SWOT heatmap, feature priority matrix.
  • /prd-viewer: Interactive PRD with linked analysis sources and edit suggestions.

Conversation starters

  • "Compare our pricing strategy against three top competitors in our space."
  • "Generate a PRD for our Q2 roadmap based on recent customer feedback and feature gaps."
ProductLens MCP – An AI-powered Product Intelligence server that helps AI agents compare competing products, generate SWOT analyses, prioritize features, summarize customer feedback, and generate Product Requirement Documents (PRDs) using structured product data. — MCP App by Keshi Jain | NitroStack | NitroStack