بنقرة واحدة
kyrgyz-news
Search, browse, and explore Kyrgyzstan news from multiple agencies via AI-generated summaries
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Search, browse, and explore Kyrgyzstan news from multiple agencies via AI-generated summaries
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | kyrgyz-news |
| description | Search, browse, and explore Kyrgyzstan news from multiple agencies via AI-generated summaries |
| homepage | https://fuddy-duddy.org |
| mcp_server | https://mcp.fuddy-duddy.org/ |
Access Kyrgyzstan news from multiple news agencies through AI-generated summaries, semantic search, and story clustering.
MCP Server: https://mcp.fuddy-duddy.org/
Semantic search across news summaries using natural language queries.
language: "RU" for Kyrgyz-language results (default), language: "EN" for English translationslimit (1-20, default 10)fromDate and toDate in ISO 8601 formatBrowse recent news summaries with pagination.
page (0-based) and pageSize (1-20) for paginationlanguage: "RU" or "EN"Get the full text of a specific news summary by its ID.
search_news or get_latest_news resultsGet trending news clusters — groups of similar articles from multiple sources covering the same story.
language: "RU" or "EN"period: today, yesterday, this_week (default), last_week, this_month, last_monthget_news_articleFind news on a topic:
search_news with a natural language queryget_news_article on interesting results to read the full summary and find related storiesBrowse latest news:
get_latest_news to see recent summariesget_news_article for full details on any itemSee what's trending:
get_top_clusters to find the most-covered storiesget_news_article on the lead article ID for the full story and related coveragelanguage: "RU" for the broadest coveragelanguage: "EN") are available for most summariesAll tools return structured JSON responses with declared outputSchema values (MCP spec v1.0). Each response is a typed object — no markdown parsing required. Empty results preserve query metadata (e.g. query, fromDate, toDate, datesExtracted) so the client always knows what was requested. Not-found cases return { notFound: true, id, similarities: [] } instead of error text.