@missionsquad/mcp-rss
Official# 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-rss` or `npm install @missionsquad/mcp-rss`
### Prerequisites
* Node.js v20 or later
* npm or yarn
### Setup
1. **Install Dependencies:**
```bash
yarn
```
2. **Configure Environment:**
* Copy `.env.example` to `.env`.
* Edit `.env` and set the necessary environment variables.
3. **Build the Project:**
```bash
yarn build
```
4. **Start the Server:**
```bash
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. 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.
## 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.
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## Try it on Mission Squad
You can test the `mcp-rss` server and other MCP servers on the [Mission Squad](https://missionsquad.ai) 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
TDQS
Scored across 6 tools
Most tools have distinct purposes, but there is some overlap between 'fetch_rss_feed' and 'extract_feed_content' or 'get_feed_headlines', which could cause confusion. However, descriptions help clarify that 'fetch_rss_feed' provides full structured data, while others focus on specific aspects like headlines or formatted content.
All tool names follow a consistent verb_noun pattern with snake_case, such as 'fetch_rss_feed', 'monitor_feed_updates', and 'search_feed_items'. This predictability makes it easy for agents to understand and use the tool set without naming confusion.
With 6 tools, the server is well-scoped for RSS feed management, covering core operations like fetching, monitoring, searching, and extracting content. Each tool serves a clear purpose without being overly sparse or bloated, fitting typical use cases effectively.
The tool set covers most essential RSS operations, including fetching, monitoring, searching, and extracting content. A minor gap is the lack of subscription management or feed modification tools, but agents can still handle common workflows like reading and tracking feeds without significant issues.