FuddyDuddy News MCP Tools

Access Kyrgyzstan news from multiple news agencies through AI-generated summaries, semantic search, and story clustering.

MCP Server: https://mcp.fuddy-duddy.org/

Tools

search_news

Semantic search across news summaries using natural language queries.

• •Supports date extraction from queries (e.g., "news from last week", "events yesterday")
• •Returns ranked results with relevance scores
• •Use language: "RU" for Kyrgyz-language results (default), language: "EN" for English translations
• •Limit results with limit (1-100, default 10)
• •Optionally specify fromDate and toDate in ISO 8601 format

get_latest_news

Browse recent news summaries with pagination.

• •Use page (0-based) and pageSize (1-50) for pagination
• •Filter by language: "RU" or "EN"
• •Returns summary titles, sources, dates, categories, and IDs

get_news_article

Get the full text of a specific news summary by its ID.

• •Returns title, full article text, source info, original article URL, category
• •Includes a list of similar articles from other sources covering the same story
• •Use the ID from search_news or get_latest_news results

get_top_clusters

Get trending news clusters — groups of similar articles from multiple sources covering the same story.

• •Returns cluster titles and reference counts
• •Filter by language: "RU" or "EN"
• •Clusters with a lead article ID can be explored further with get_news_article

Workflow Patterns

Find news on a topic:

1. •search_news with a natural language query
2. •get_news_article on interesting results to read the full summary and find related stories

Browse latest news:

1. •get_latest_news to see recent summaries
2. •get_news_article for full details on any item

See what's trending:

1. •get_top_clusters to find the most-covered stories
2. •get_news_article on the lead article ID for the full story and related coverage

Tips

• •Most Kyrgyz news is published in Russian — use language: "RU" for the broadest coverage
• •English translations (language: "EN") are available for most summaries
• •Date extraction works with natural language: "last week", "yesterday", "in January"
• •Each summary links to the original source article for verification
• •Cluster reference counts indicate how many sources covered a story