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News MCP Server

MCP Server

Deliver news articles via Webz.io API

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Updated Apr 19, 2025

About

A Model Context Protocol server that fetches and serves news articles using the Webz.io API, enabling real-time access to curated content for applications.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The News MCP server provides a streamlined gateway for AI assistants to retrieve up‑to‑date news articles through the Webz.io API. By exposing a simple, well‑structured MCP interface, it removes the friction that typically surrounds web scraping or paid news feeds. Developers can now query current events, filter by topic or source, and obtain cleanly parsed article data—all without handling authentication, rate limits, or parsing logic themselves.

At its core, the server implements a single resource that accepts parameters such as query, source, and date range. When invoked, the MCP client forwards these parameters to Webz.io, which returns a list of matching articles. The server then normalizes the response into a consistent JSON schema, making it trivial for downstream AI tools to consume. This abstraction is especially valuable in rapid prototyping or production environments where data freshness and reliability are critical, yet developers prefer to focus on higher‑level business logic rather than API intricacies.

Key capabilities include:

  • Real‑time news retrieval: Pull the latest headlines or specific stories from a vast network of publishers.
  • Fine‑grained filtering: Narrow results by keyword, publisher, or publication date to reduce noise.
  • Structured output: Each article is returned with title, author, publication date, source, and a clean text body, enabling downstream NLP tasks such as summarization or sentiment analysis.
  • Rate‑limit handling: The server internally manages Webz.io quotas, automatically retrying or queuing requests as needed.

Typical use cases span a wide spectrum. A financial AI assistant can query market‑related news to feed a trading strategy, while a content recommendation engine might surface trending articles for users. In compliance or monitoring scenarios, legal teams can ingest recent regulatory updates to flag potential risks. Because the MCP server presents a declarative interface, these workflows can be composed with other MCP tools—such as prompt templates or sampling modules—to build sophisticated, end‑to‑end AI applications.

What sets News MCP apart is its tight integration with the Webz.io infrastructure, offering a reliable data source that scales globally. Developers benefit from reduced operational overhead: authentication tokens, error handling, and pagination are all hidden behind the MCP contract. Consequently, teams can iterate faster on feature development, focus on AI logic, and deliver richer, data‑driven experiences to end users.