Bangla News MCP Server

Overview

Bangla News MCP is a lightweight, Model Context Protocol server that delivers real‑time Bangladeshi news in Bengali to large language models. By exposing a structured API of tools that fetch headlines and query‑based articles, the server removes the friction developers face when trying to inject local or external news into conversational agents. Instead of hard‑coding news feeds or scraping websites manually, an LLM can simply call the server’s tools and receive up‑to‑date, category‑tagged news content in a format that is immediately usable for context generation or summarization.

The server’s core value lies in its language specialization. All headlines and metadata are returned in Bengali, ensuring that downstream models can preserve linguistic nuances without the need for additional translation or language‑model fine‑tuning. This is especially important for regional news applications where native text fidelity directly impacts user trust and content relevance. Moreover, the server is designed for speed and scalability: it caches recent headlines, limits request rates, and runs as a minimal Python process that can be spun up behind any MCP‑compatible client such as Claude Desktop or custom tooling.

Key features include:

• Fetch Latest Headlines – A tool that retrieves the most recent Bengali news across multiple categories (politics, sports, technology, etc.), returning a concise list of headline objects with metadata such as publication time and source.
• Query‑Based Retrieval – A flexible search tool that accepts user queries in Bengali and returns the most relevant headlines, enabling dynamic content discovery during a conversation.
• Structured JSON Output – Both tools emit fully parsed JSON, making it trivial for an LLM to embed the data directly into context windows or downstream processing pipelines.
• Easy Integration – The server is discovered via MCP, so any client that supports the protocol can automatically register and invoke its tools without additional configuration.

Typical use cases span a wide range of applications: a news aggregator chatbot that can answer “What’s happening in Bangladesh today?”; an educational assistant that pulls current events for classroom discussions; or a content curation platform that surfaces trending Bengali stories to users. Because the server exposes a clean, protocol‑driven interface, developers can embed it into existing workflows—whether through Smithery’s quick installation or by running a local instance—without needing to manage web scraping logic themselves.

In summary, Bangla News MCP offers a ready‑made, language‑specific news feed for LLMs, simplifying the integration of fresh, localized content into AI experiences while maintaining high performance and developer ergonomics.