"PulseFeed - Content or News Feed Platform" matching MCP servers:

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

Enables AI to manage RSS subscriptions, fetch and summarize news, and organize results into tools like Notion.

Fetches, summarizes, and translates news headlines and articles using the News API and OpenAI. It enables users to browse top stories and receive high-quality Korean translations of global news content.

Fetches, summarizes, and analyzes Turkish news from multiple RSS sources using NLP techniques.

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

Enables AI agents to read RSS/BlueSky feeds, clip and summarize articles, save to Obsidian, and post to BlueSky.

Search and retrieve news articles and trending keywords from Google News and Google Trends. Summarize articles and extract keywords using optional NLP and LLM Sampling to get concise insights.

MCP server that fetches, ranks, and summarizes global news from 28 RSS sources across 12 categories, exposing 16 tools for LLMs to query technology, AI, finance, politics, and more.

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

Provides content intelligence tools for AI agents, including extraction, analysis, research, comparison, monitoring, and briefing, powered by free LLMs with pay-per-call or subscription pricing.

MCP server for summarizing content from Baidu Netdisk, local files, Bilibili, X, and web articles, producing Obsidian notes with bidirectional links and Feishu digests.

Enables crawling news articles by category (politics, economy, society, etc.) and generates blog-ready markdown summaries. Provides MCP tools for listing categories, crawling news, getting article details, and saving to files.

Search Google News and analyze sentiment through a fixed tool chain, returning JSON, Markdown reports, and final summaries.

Provides tools for fetching real-time news and performing AI-powered sentiment analysis and summarization using Mistral AI. It enables users to analyze news trends and extract structured insights through natural language queries.

Enables Claude to access fetched RSS news, event clusters, and archives to generate digests, watch for urgent alerts, and answer news-related queries via MCP tools.

MCP server that integrates Google News and Google Trends, enabling AI models to fetch news, analyze search interest, calculate growth rates, and summarize articles.

A TypeScript-based Model Context Protocol server that fetches, searches, and formats news articles from NewsAPI.org into reader-friendly Markdown digests using LLMs (Gemini and Claude).

Fetches and processes Hacker News discussions to prepare them for Claude to generate high-quality summaries, handling comment structure and metadata to help Claude understand the relative importance of different comments.

Fetches and summarizes real financial news from NewsAPI, enabling search, headline retrieval, and source listing via MCP tools.

MCP server for RSS aggregation and LLM summarization, allowing users to fetch latest articles, search archives, and generate topic-specific digests via natural language.

Enables MCP-compatible clients to access reusable AI content-generation tools for creating blogs, social posts, SEO content, research summaries, and more through the FastAPI backend.

A modular production-ready system that provides specialized agents for math, research, weather, and summarization tasks through a unified MCP toolbox with smart supervisor capabilities.

A production-grade MCP server providing four tools for URL summarization, content repurposing, news digests, and competitor analysis, with cost telemetry and dual transport support.

Provides clean, bounded web content to AI by filtering HTML noise and optionally summarizing, preventing context window overflow.

A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.

tooltrim reduces the tokens agents spend re-reading bloated tool results. Run it as an MCP server exposing compress and expand_tool_output, or as a gateway in front of any upstream MCP server: it re-exposes the upstream tools unchanged and shrinks each result (HTML/JSON/logs/tables) before it reaches the model, keeping the relevant content only.

Self-hosted digests of your Telegram channels over MCP: AI summaries, the last digest and raw per-channel messages. Works with OpenAI, Anthropic or local Ollama.

Two self-hosted MCP servers: manage a local model machine (Ollama pull/switch, LoRA training) and bridge to local Ollama/vLLM for pure language processing tasks (writing, summarizing, classifying, extraction) without giving the calling agent tools or file access.

An MCP server that provides local, private, synchronous access to Ollama models for prompt answering, text classification, and model listing, without any file access or command execution.

Enables LLMs to interact with Fathom.video API for managing meeting recordings, retrieving transcripts and AI-generated summaries, searching meeting content, and accessing analytics and team data.