MCP Rss

🚀 MCP-RSS Server

A Model Context Protocol (MCP) server designed to fetch, parse, and manage RSS feeds, streamlining the process of handling RSS data.

✨ 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

🚀 Quick Start

📦 Installation

Install the package using either of the following commands:

• yarn add @missionsquad/mcp-rss
• npm install @missionsquad/mcp-rss

Prerequisites

• Node.js v20 or later
• npm or yarn

Setup

1. Install Dependencies:

   yarn
   

2. Configure Environment:
   • Copy .env.example to .env.
   • Edit .env and set the necessary environment variables.
3. Build the Project:

   yarn build
   

4. Start the Server:

   yarn start
   

💻 Usage Examples

Basic Usage

The MCP-RSS server provides several useful tools for handling RSS feeds:

• 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. Supports json, markdown, html, and text formats.
• get_feed_headlines: Gets a list of headlines from a feed. Supports json, markdown, html, and text formats.

Advanced Usage

The server also exposes some resources for accessing cached data and exporting feeds:

• rss://cache/{feedUrl}: Access cached feed data.
• rss://opml/export: Export all monitored feeds in OPML format.

🔧 Technical Details

Configure the server using environment variables defined in .env. Refer to .env.example for all available options.

📚 Documentation

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.