"RSS" matching MCP servers:

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

Professional RSS/Atom feed management system with AI-powered analytics including sentiment analysis, trend detection, auto-categorization, cross-source verification, automated scheduling, and content export capabilities.

Enables intelligent RSS feed management with AI-powered semantic search, advanced filtering, and a comprehensive reading workflow. Supports OPML parsing, article organization with status tracking, and token-efficient browsing of large feed collections.

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

Model Context Protocol Server for aggregating RSS feeds in Claude Desktop

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

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

Enables agents to discover feeds for a site, retrieve dated feed items as clean JSON, and perform keyless news searches across Google News and Bing News with deduplication and publisher attribution.

An MCP server that fetches RSS feeds and shares them with LLMs, allowing AI assistants to access and present the latest news and articles from configured feeds.

Enables Claude to fetch, parse, and manage RSS/Atom feeds through the Model Context Protocol. It supports feed registration and retrieval, allowing users to access article summaries and full content from multiple sources via natural language.

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.

Acts as a secure gateway for remote MCP clients to interact with RSSFlow's local system, enabling AI models to access RSS data via tools like listing actions, querying summaries, and executing commands.

Converts RSS/Atom feeds to JSON via a single tool, enabling fetch of feed data as structured JSON through MCP.

Enables AI assistants and agents to search and count millions of job postings from 185 sources across 250 countries using filters like country, title, skills, work place, contract type and posting date. It can also generate filtered RSS feed URLs for job board backfill.

MCP server for programmatic read-only access to RiseUp cashflow data, allowing AI assistants to retrieve budget information via natural language.

An MCP server for reading and managing RSS feeds from a self-hosted FreshRSS instance, enabling listing feeds, fetching articles, and subscribing/unsubscribing through the FreshRSS API.

Wine pairing intelligence for AI assistants. 7 MCP tools for sommelier-grade wine recommendations: pair wines with meals, ingredients, or recipe URLs, reverse pairing, group dinner planning, and search. Powered by a proprietary Wine DNA algorithm with 600+ wine archetypes. Supports API key and x402 (USDC on Base) autonomous agent payments.

Structural memory for coding agents — 60% fewer tokens, refactor-safe, runs entirely on your machine.

A read-only MCP server that provides visibility into Parallels Remote Application Server infrastructure, policies, and sessions through the RAS REST API. It enables AI assistants to query site settings, published applications, and license status without performing any modifications.

Enables AI agents to perform comprehensive person and company lookups by integrating directly with the Lusha API for business contact enrichment. It provides tools for bulk contact identification via LinkedIn URLs, emails, or names, alongside detailed company information retrieval.