"Information on Fake News" matching MCP servers:

Fetches news articles from Google News, vectorizes them locally using ChromaDB, and enables semantic search through natural language queries.

Enables fact-checking of news headlines using Google Gemini AI and web search verification, and retrieves trending news topics from RSS feeds with comprehensive multi-source analysis.

A remote MCP server that enables searching for news articles on specific topics through the Tavily API without requiring authentication.

Enables AI assistants to access and manage an Indonesian stock market news pipeline, including checking news status, running scraping, and reading reports.

Enables read-only consultation of the latest published content on AI applied to medicine—articles, news, podcasts, lessons, events, conferences and repositories—through tools to list recent items, search by topic, and open item summaries with links.

An MCP server for SearchApi that provides Google web, news, scholar, and YouTube search as agent-ready MCP tools.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

MCP server that connects AI assistants to the public tagesschau.de news API, offering live headlines, category and regional news, full-text search, and live stream URLs without requiring an API key.

A fake web search server that generates LLM-powered search results and full articles based on a configurable background story for AI alignment testing. It enables users to simulate a controlled web environment where AI agents interact with fabricated content tailored to a specific narrative.

An MCP server that aggregates real-time cryptocurrency news from multiple RSS feeds.

Provides web and news search via DuckDuckGo with support for region filtering, time ranges, and token optimization for AI assistants.

Provides persistent, searchable memory for AI agents, enabling them to retain, recall, and reflect on information across conversations.

A Model Context Protocol server that integrates ChainGPT capabilities into AI agents, allowing users to access crypto news, prices, and market trends.

A remote MCP server providing a tool for searching and querying ATprotocol documentation, helping developers easily access information while building on the protocol.

Provides tools to fetch and search news from The Verge's RSS feed, allowing users to get today's news, retrieve random articles from the past week, and search for specific keywords in recent Verge content.

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

An MCP server that provides semantic memory on top of Qdrant vector search, with tools to store and retrieve information using embeddings.

A server that provides DuckDuckGo search capabilities (text, image, news, video search and AI chat) through the Model Context Protocol.

Enables storing and retrieving text passages based on semantic meaning using local embeddings (Ollama) and vector storage (ChromaDB), allowing conversational memorization and retrieval of information.