Dhaka Post News Reader
Dhakapost-MCP allows developers and data analysts to programmatically access real-time news from dhakapost.com. Use search_articles and get_category_articles to aggregate content, or retrieve full text with get_article for automated analysis. This server provides direct, structured access to headlines and detailed reporting, making it an essential utility for building news-tracking applications.
Overview
The dhakapost-mcp server provides direct, programmatic access to news content from Dhaka Post. By bridging the gap between the publication’s RSS feeds and your AI agent, this server allows you to extract real-time journalism, specific category updates, and deep-dive article content without manual browsing.
Key Capabilities
- list_categories: Retrieves a current directory of all available news sections on the site.
- get_headlines: Pulls the latest feed items including titles, URLs, and image metadata.
- get_category_articles: Filters and fetches content indexed under a specific news section.
- get_article: Extracts the full text, author, and publication metadata from a specific URL.
- search_articles: Executes keyword-based queries to locate relevant stories across the publication's archive.
Use Cases
- Automate a daily digest by using get_headlines to pull top stories and summarize them via an LLM for a morning briefing.
- Build a specialized research database by using search_articles and get_article to scrape and store historical coverage on specific topics.
- Monitor specific news beats by programmatically calling get_category_articles to track updates in sectors like politics, technology, or sports.
Who This Is For
This server is designed for developers building automated news aggregators, data analysts tracking media trends, and researchers requiring structured access to Bangladeshi news content. Users should have a basic understanding of MCP client configuration to integrate these tools into their local AI environment.