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Collect Japanese web content efficiently with low-impact, token-saving web access.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Rererr/amenbo" MCP server from askskill: Run: claude mcp add 'io-github-rererr-amenbo' -- npx -y amenbo
Collect key information from the homepages and product pages of these Japanese competitor websites. Organize the results into a table with brand name, product category, price range, key selling points, and last update time, while minimizing unnecessary page visits.
A structured table summarizing core product and market information from each site.
Visit these Japanese news pages and extract the headline, publish time, source, and article summary. Ignore ads, navigation, and recommended links, and keep only the main article content.
Key fields and concise summaries for each article, ready for analysis or archiving.
Batch visit these Japanese web pages and collect paragraphs related to 'generative AI policy'. Organize the results by website, page title, URL, and summary, while keeping the crawl scope limited to save tokens.
A source-organized research list with links and summaries for further review.
Collect web data, analyze text, and generate reports or presentation content.
Search and look up Japanese healthcare reference data in local-first AI workflows.
Search the web, extract content, research papers, and consult library docs.
Access, search, and analyze French and EU public procurement data.
Use zero-config MCP servers for web search and AI-driven Hexo blog management.
Run a universal MCP server with AI memory and semantic search.