MCP Servers Marketplace

MCP server for What Happen - A comprehensive news aggregation backend service supporting 70+ news platforms with MCP protocol support and CLI tool. No external data files required.

A Model Context Protocol (MCP) server that provides programmatic access to Hacker News content via the HN Algolia API. Enables AI assistants to search stories, retrieve comments, access user profiles, and explore the HN front page in real-time.

MCP news search service providing news aggregation and search capabilities. Supports multiple news sources including Zhihu, Weibo, GitHub, Baidu, and Bilibili. Uses built-in LRU caching to improve response speed. Compatible with MCP clients like Claude Desktop and Cline. No external data files required beyond standard installation.

Hacker News Browser MCP server for Claude Desktop and AI assistants. Enables browsing Hacker News, searching discussions, and analyzing tech trends. No API keys required. Configuration via environment variables documented in .env.example.

A Python-based MCP server aggregating trending news and social media hot topics from 31 data sources. Supports configuration of returned fields and custom RSS feeds via environment variables.

A Model Context Protocol (MCP) server providing tools to access and interact with the police.uk API, offering comprehensive data on crimes, police forces, neighbourhoods, and stop-and-search incidents across the UK. Data is sourced from the official police.uk API, which is free to use with monthly updates.

A Model Context Protocol (MCP) server that provides real-time hot trending topics from major Chinese social platforms and news sites. Uses the api.vvhan.com service for fetching hot topics data.

A Model Context Protocol (MCP) server that provides real-time hot trending topics from major Chinese social platforms and news sites. Uses the external API service api.vvhan.com for fetching hot topics data.

MCP Server for using the Hacker News API. Provides access to stories, comments, user profiles, and search functionality through the Model Context Protocol.

A one-stop aggregation service for trending topics across the web based on the Model Context Protocol (MCP). Supports over 20 high-quality data sources with real-time updates. Environment variables can be used to customize returned fields and add custom RSS feeds.

TrendRadar is a trending news aggregation and analysis tool. It requires Python >=3.10 and depends on external data sources such as newsnow API for multi-platform data fetching.

MCP server for fetching US news headlines with summaries and Korean translation. Requires external API keys configured via environment variables NEWS_API_KEY and OPENAI_API_KEY.

A TypeScript-based MCP server for integrating with NewsAPI, enabling access to global news articles, headlines, and sources. Requires a NewsAPI API key set via the NEWS_API_KEY environment variable.

An MCP server that fetches news articles from Google News, vectorizes them locally using ChromaDB, and allows semantic search. Requires local ChromaDB data persisted in the 'chroma_db/' directory.

TrendRadar is a trending news aggregation and analysis tool. It supports fast deployment and integrates with multiple notification platforms. No external data files are explicitly required via environment variables.

TrendRadar is a trending news aggregation and analysis tool that helps users quickly deploy a hotspot assistant to focus on relevant news. It supports multiple notification integrations and AI analysis push. No external data files are explicitly required via environment variables.

TrendRadar is a trending news aggregation and analysis tool. It supports fast deployment and AI analysis push. No explicit external data files configured via environment variables were found in the README or project files.

MCP server for managing news and events on the BiatorbágyOn portal. Requires external configuration via environment variables for Supabase connection and optionally Anthropic API key for proofreading. Configure .env file accordingly.

TrendRadar is a trending news aggregation and analysis tool that provides fast deployment and AI-powered insights. It supports multiple notification platforms and can be deployed via Docker or manual Python setup.

TrendRadar is a trending news aggregation and analysis tool. It requires Python >=3.10 and depends on external data sources via APIs (e.g., newsnow). No explicit external data files configured via environment variables were found in the README.

TrendRadar is a trending news aggregation and analysis tool that provides fast deployment and AI-powered insights. It supports multiple notification channels and integrates with external data sources via APIs.