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Turn live trends into forecasts, virality scores, and monetizable insights.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Lolik Trend Radar" MCP server from askskill: Run: claude mcp add 'io-github-lolikai-lolik-mcp' -- npx -y @lolikai/mcp
Use Lolik Trend Radar to analyze the live trends worth watching today and produce a brief covering key trends, momentum assessment, potential business opportunities, and what I should prioritize next.
A daily brief organized by trend, including an overview, opportunity areas, and recommended actions.
Use Lolik Trend Radar to evaluate the virality potential of the topic "AI study assistant," including a virality score, trend forecast, and suitable content or product opportunities.
An analysis with a virality score, trend outlook, and actionable opportunity ideas.
Use Lolik Trend Radar to identify the most monetizable opportunities from current hot trends, ranked by opportunity size, trend durability, and entry recommendation.
A prioritized opportunity list useful for marketing, content planning, or product decisions.
Marketers can use it to monitor live trends and turn them into actionable growth or monetization opportunities. It fits situations where fast trend briefs and prioritization are needed.
Product managers can use it to review forecasts and opportunity signals to judge which directions are worth further validation. It is useful for spotting emerging demand or market movement early.
Data analysts or researchers can use it to produce daily trend briefs summarizing momentum, virality potential, and opportunity areas. This helps convert scattered trend signals into decision-ready intelligence.
It is an MCP tool that turns live trends into actionable intelligence, including forecasts, virality scores, opportunity detection, and daily briefs.
Based on the description, it can provide trend forecasts, virality scores, opportunity assessments, and daily briefs. For exact fields or output formats, see the source repository.
No documentation excerpt is provided, so the installation steps, runtime requirements, or whether keys are needed cannot be confirmed here. Check the source repository for prerequisites.
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