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Generate comprehensive content research reports from trends, search, translation, and images.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "content-research-mcp" yet — see the docs or source repo.
Research the topic "Korean summer skincare trends" by combining Naver DataLab trends, related news and blog content, translated key findings, and suitable Unsplash image suggestions. Output a structured research report.
A complete report with trend insights, top keywords, content angles, source summaries, and image suggestions.
Research content around "Korean coffee brand collaboration marketing," summarize recent news, blog discussions, and trend changes, translate key Korean points, and generate a competitor research report for a content team.
A competitor analysis report for content teams covering trend shifts, case summaries, messaging angles, and asset suggestions.
Research content for "Seoul autumn travel guide," collect Korean search trends, news, and blog materials, translate them into Chinese, recommend Unsplash images for the article cover, and organize everything into a pre-publication research brief.
A pre-publication research brief with multilingual source synthesis, content highlights, keyword directions, and image recommendations.
Conduct multi-source web research and produce cited, source-attributed reports.
Add semantic search and document retrieval to Deep Research with custom knowledge.
Search the web, fetch content, find images, and do deep research free.
Search Naver news, blogs, and shopping results with natural language.
Break down complex research questions and produce structured, credibility-scored reports.
Fetch multi-platform content data for LLM-driven performance analysis and insights.