by veithly
RSS Feed Parser is a powerful rss feed generator and rss link generator with RSSHub integration, perfect for creating cu
Fetches and parses RSS/Atom feeds from any URL, with special support for RSSHub to create feeds from websites that don't natively offer them.
RSS Feed Parser is a community-built MCP server published by veithly that provides AI assistants with tools and capabilities via the Model Context Protocol. RSS Feed Parser is a powerful rss feed generator and rss link generator with RSSHub integration, perfect for creating cu It is categorized under search web.
You can install RSS Feed Parser 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.
Apache-2.0
RSS Feed Parser 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.
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
We evaluated RSS Feed Parser against two servers with overlapping tools; this profile had the clearer scope statement.
We wired RSS Feed Parser into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend RSS Feed Parser for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, RSS Feed Parser benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: RSS Feed Parser is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: RSS Feed Parser surfaces stars and publisher context so we could sanity-check maintenance before adopting.
RSS Feed Parser has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
RSS Feed Parser reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, RSS Feed Parser benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: RSS Feed Parser surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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This is a Model Context Protocol (MCP) server built with TypeScript. It provides a versatile tool to fetch and parse any standard RSS/Atom feed, and also includes special support for RSSHub feeds. With this server, language models or other MCP clients can easily retrieve structured content from various web sources.
<a href="https://glama.ai/mcp/servers/@veithly/rss-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@veithly/rss-mcp/badge" alt="RSS Server MCP server" /> </a>The server comes with a built-in list of public RSSHub instances and supports a polling mechanism to automatically select an available instance, significantly improving the success rate and stability of data retrieval.
get_feed to fetch any RSSHub-supported feed via MCP, with multi-instance support.rsshub:// protocol format.PRIORITY_RSSHUB_INSTANCE environment variable.First, clone the project repository, then install the required dependencies.
git clone https://github.com/veithly/rss-mcp.git
cd rss-mcp
npm install
Before running, you need to compile the TypeScript code into JavaScript:
npm run build
After a successful build, start the MCP server:
npm start
The server will then communicate with the parent process (e.g., Cursor) via Stdio.
You can create a .env file to specify a priority RSSHub instance. This is very useful for users who have a private, stable instance.
Create a .env file in the project root directory and add the following content:
PRIORITY_RSSHUB_INSTANCE=https://my-rsshub.example.com
The server will automatically load this configuration on startup and place it at the top of the polling list.
To use this server with an MCP client like Cursor, you need to add it to your configuration file.
npx (Recommended)This package is published on npm, so you can use npx to run the server without a local installation. This is the easiest method.
Direct Invocation:
You can run the server directly from your terminal using npx:
npx rss-mcp
MCP Client Configuration:
To integrate with an MCP client like Cursor, add the following to your configuration file (e.g., ~/.cursor/mcp_settings.json):
{
"name": "rss",
"command": ["npx", "rss-mcp"],
"type": "stdio"
}
If you have cloned the repository locally, you can run it directly with node.
Clone and build the project as described in the "Installation" and "Usage" sections.
Locate your MCP configuration file.
Add the following server entry, making sure to use the absolute path to the compiled index.js file:
{
"name": "rss",
"command": ["node", "/path/to/your/rss-mcp/dist/index.js"],
"type": "stdio"
}
Important: Replace /path/to/your/rss-mcp/dist/index.js with the correct absolute path on your system.
After adding the configuration, restart your MCP client (e.g., Cursor) for the changes to take effect. The rss server will then be available, and you can call the get_feed tool.
get_feedFetches and parses an RSS feed from a given URL. It supports both standard RSS/Atom feeds and RSSHub feeds.
url (string, required): The URL of the RSS feed to fetch. Two formats are supported:
https://rsshub.app/bilibili/user/dynamic/208259rsshub:// protocol: rsshub://bilibili/user/dynamic/208259 (the server will automatically match an available instance)count (number, optional): The number of RSS feed items to retrieve.
10Returns a JSON string containing the feed information, with the following structure:
{
"title": "bilibili User Dynamics",
"link": "https://space.bilibili.com/208259",
"description": "bilibili User Dynamics",
"items": [
{
"title": "[Dynamic Title]",
"description": "Plain text content of the dynamic...",
"link": "https://t.bilibili.com/1234567890",
"guid": "https://t.bilibili.com/1234567890",
"pubDate": "2024-05-20T12:30:00.000Z",
"author": "Author Name",
"category": ["Category1", "Category2"]
}
]
}
.env file.This project is licensed under the Apache-2.0 License.
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.