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Analyze and compare product reputation with sentiment across Reddit, Hacker News, and YouTube.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Reputation Intelligence MCP Server" yet — see the docs or source repo.
Using discussions from Reddit, Hacker News, and YouTube, compare Product A and Product B. Provide overall sentiment, key pros and cons, dimensional scores, and the most frequently mentioned user issues.
A structured report with reputation comparison, sentiment analysis, dimensional scores, and common feedback for both products.
Analyze user feedback about Product X from the last 30 days across Reddit, Hacker News, and YouTube. Classify sentiment into positive, negative, and neutral, and identify the core topics affecting reputation.
A post-launch reputation summary organized by time and sentiment, with key discussion topics highlighted.
Analyze community reputation for Competitor Y. Identify the most praised features, the most common complaints, and perceived differentiation versus our product, then output insights useful for product and marketing decisions.
An insight report focused on competitor strengths, weaknesses, and differentiation perceptions for strategy discussions.
Fetch and analyze Reddit content for research, monitoring, and insights.
Run real-time competitor, review, website, and market intelligence with AI.
Turn Reddit discussions into cited insights for market, customer, and competitor research.
Aggregate live news, generate summaries, and analyze sentiment and trends.
Research YouTube niches with video metrics, thumbnails, and aggregate engagement analysis.
Track Reddit trend changes and growth for any topic or brand.