"A universal news aggregator for unbiased results" matching MCP servers:

Enables AI agents to fetch and search news from multiple sources including RSS/Atom feeds, HackerNews, and GDELT global news intelligence without requiring an API key.

MCP server that aggregates and caches top stories from Indian news websites, prioritizing sports stories, and exposes them via tools for use with Claude.

Aggregates personal data from multiple sources (Claude Code sessions, GitHub, Dropbox, etc.) into a searchable SQLite store and exposes query capabilities via FastMCP for models.

MCP server that aggregates AI news, academic papers from ArXiv, and trending GitHub repositories from multiple sources, enabling users to fetch, search, and filter recent AI content via natural language.

Acts as an anonymizing proxy between AI agents and databases, detecting PII and replacing it with realistic fake data so agents never see real data.

Enables AI assistants to query a self-hosted, personally ranked news corpus, returning cited answers grounded in the user's own interests and sources without external data transmission.

Aggregates search results from DuckDuckGo, Wikidata, and ArXiv into a single markdown response via JSON-RPC endpoint.

A Model Context Protocol (MCP) Server that provides unified access to multiple external APIs (weather, news, financial data) through a single, consistent interface for AI agents and LLMs.

MCP server for RSS news aggregation, providing tools to list sources, fetch latest news, search articles, and get stats. It stores feeds in SQLite and supports local/Docker deployment with bearer token or OAuth authentication.

Enables users to query news mention volume time series, growth percentages, and live Google News feeds as an MCP tool, integrating with AI hosts like Claude and Cursor.

Searches and fetches research datasets across Zenodo, DataCite (Dryad/Figshare/Dataverse/OSF), NCBI omics archives (GEO/SRA/BioProject), and the literature (PubMed/OpenAIRE) through one normalized model — deduplicating by DOI, expanding organism queries with NCBI Taxonomy synonyms, and bridging papers to the datasets they produced. Resolves citations and open-access full text, and downloads files.

Provides news sentiment scores and media volume trends for any topic, enabling AI assistants to analyze whether news coverage is positive or negative.

Enables AI assistants to fetch news categories and hot news/tweets across various topics like crypto, DeFi, and AI.

MCP server for global news monitoring, media analysis and sentiment tracking via WorldNewsAPI — full-text search across 150+ countries, German/English sentiment analysis, top headlines, GL briefings, newspaper front pages and geo-search. API key required.

Enables AI assistants to fetch real-time news from Google News RSS feeds with support for headlines, categories, location-based queries, and advanced search operators. Features automatic URL decoding, concurrent processing, and intelligent caching for optimized access to global news content.

A Python MCP server for fetching and summarizing news articles from the Boring News API by date, category, tags, people, and similarity.

A Model Context Protocol (MCP) server that provides access to global news articles through the News API. It implements a standardized interface for searching news articles, retrieving top headlines, and listing available news sources.

A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across sessions. Features an auto-adaptation engine that syncs global instructions to ensure operational cohesion and optimize token usage across any LLM or multi-agent workflow.

A server providing access to news articles from various categories including tech, data science, cybersecurity, and more, allowing retrieval and summarization of latest content.

Fetches recent AI news from curated RSS feeds, summarizes them with OpenAI, and caches results in AWS DynamoDB for efficient access.