RSS▌

by missionsquad
RSS feed server with intelligent caching, batch processing, content monitoring, and full‑text search for automated news
RSS/Atom feed server that provides intelligent caching, batch processing, content monitoring, and full-text search capabilities for news aggregation, content monitoring, and automated feed processing workflows.
best for
- / News aggregation and monitoring
- / Content curation workflows
- / Automated feed processing systems
- / Building RSS readers or news apps
capabilities
- / Fetch and parse RSS/Atom feeds
- / Batch process multiple feeds simultaneously
- / Monitor feeds for new content since last check
- / Search content across multiple RSS feeds
- / Extract feed content in JSON, Markdown, HTML, or text formats
- / Export feed subscriptions as OPML
what it does
Fetches and manages RSS/Atom feeds with intelligent caching, batch processing, and content search. Helps monitor multiple news sources and extract feed content in various formats.
about
RSS is a community-built MCP server published by missionsquad that provides AI assistants with tools and capabilities via the Model Context Protocol. RSS feed server with intelligent caching, batch processing, content monitoring, and full‑text search for automated news It is categorized under developer tools, productivity. This server exposes 6 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install RSS in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
RSS is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP-RSS Server
A Model Context Protocol (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
- OPML export of subscribed feeds
Getting Started
- Install:
yarn add @missionsquad/mcp-rssornpm install @missionsquad/mcp-rss
Prerequisites
- Node.js v20 or later
- npm or yarn
Setup
- Install Dependencies:
yarn - Configure Environment:
- Copy
.env.exampleto.env. - Edit
.envand set the necessary environment variables.
- Copy
- Build the Project:
yarn build - Start the Server:
yarn start
Available Tools
fetch_rss_feed: Fetches and parses a single RSS feed.fetch_multiple_feeds: Fetches multiple RSS feeds in parallel or sequentially.monitor_feed_updates: Checks for new items in a feed since a specific time.search_feed_items: Searches for content across one or more RSS feeds.extract_feed_content: Extracts and formats content from feed items. Supportsjson,markdown,html, andtextformats.get_feed_headlines: Gets a list of headlines from a feed. Supportsjson,markdown,html, andtextformats.
Available Resources
rss://cache/{feedUrl}: Access cached feed data.rss://opml/export: Export all monitored feeds in OPML format.
Configuration
Configure the server using environment variables defined in .env. See .env.example for all available options.
Try it on Mission Squad
You can test the mcp-rss server and other MCP servers on the Mission Squad platform. Mission Squad is an Agentic AI Platform that allows you to build, manage, and deploy cooperative agents that connect to any model, leverage private data, and automate complex tasks. Sign up for a free account to get started
FAQ
- What is the RSS MCP server?
- RSS is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for RSS?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
RSS is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated RSS against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: RSS is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
RSS reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend RSS for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: RSS surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
RSS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, RSS benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired RSS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
RSS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.