"A server for RSS feed processing with database storage and AI-powered search" matching MCP servers:

An MCP server that provides RSS feed tools for Claude Desktop, enabling fetching and parsing RSS feeds with configurable feeds and blocklists.

Local MCP server for reading and searching RSS and Atom feeds, enabling AI assistants to fetch feed contents, search entries by keyword, and view feed metadata without any cloud intermediary.

Enables users to subscribe to RSS feeds, read clean extracted article text without ad-heavy sites, and perform full-text and semantic searches using local SQLite storage with no account required.

MCP server for fetching, parsing, and managing RSS feeds. Features Fetch and parse RSS/Atom feeds In-memory caching with TTL Batch fetching of multiple feeds Monitor feeds for new items Search content across multiple feeds Extract and format feed content

Provides agent-friendly web search via MCP with zero-config free engines, region-aware failover, freshness filtering, and a one-call research tool that searches, fetches, and summarizes pages.

A stateless RSS competitive-intelligence MCP server that fetches and filters RSS/Atom feeds by keywords, deduplicates, and sorts by recency to return a focused digest.

An MCP server for managing and querying RSS/news feeds, enabling real-time fetching, searching, and retrieval of feed items.

Fetches RSS feeds from tech blogs and news sites and returns AI-generated summaries via Claude.

Enables language models to fetch and parse standard RSS/Atom feeds and RSSHub content, with multi-instance support to improve retrieval success rates.

An MCP server for RSS feed aggregation and article content extraction, allowing users to subscribe to feeds and extract full article content as Markdown.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Live open jobs from companies' own Greenhouse, Lever and Ashby boards via their official public APIs, with publish-verified dates, age, long-open and repost signals, filters and change tracking.

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Read-only MCP server for monitoring public RSS and Atom feeds from competitor and industry websites, enabling competitive intelligence workflows through feed fetching, searching, and thematic summarization.

Enables users to query every open job from companies' own ATS boards by domain or board URL, with filters for title, location, department, recency, remote status, and new postings, returning one row per job plus company-level status and optional descriptions.

Enables searching LinkedIn's public job listings by keyword and location and returning one row per job, with employer website domains resolved where possible and optional posting details.

Enables web search on Chinese internet content using Bocha AI, returning results as Markdown or JSON with configurable freshness and summary options.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables AI assistants to retrieve Chinese news headlines, hot lists, and censorship/deletion-watch flags across Weibo, Baidu, Zhihu, Toutiao, Douyin, Bilibili, and Kuaishou through a single Apify-backed interface. Supports language projection between English and original Chinese headlines plus local query filtering, returning compact JSON rows with censorship status, rank, and first/last-seen details.

Provides web search and page fetching capabilities using Ollama's API.

MCP RSS is a Model Context Protocol (MCP) server for interacting with RSS feeds

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

Enables fetching daily Product Hunt launches as dataset rows with maker names, product website and company domain, X and LinkedIn links, votes, rank, and topics. Users can filter by specific days or days back, topics, keywords, and minimum votes, or skip already-seen launches on a schedule.

Enables broad web search for current, time-sensitive information, returning short title, URL, and snippet results rather than full pages. It supports region and result-count parameters through a keyless multi-engine backend.

Enables users to search Reddit by keyword or subreddit, read thread URLs with comments, filter and sort results, and receive flat post and comment rows without needing a Reddit login or API key.

Enables searching and comparing Airbnb (Korea) and Yanolja accommodation prices, with tools for price distribution, historical trends, and snapshot management, storing collected data in SQLite.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.