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RSS Reader MCP Server

RSS Reader MCP Server

Local
github.com/tanevanwifferenBrowser Automation3Updated 73w ago

About RSS Reader MCP Server

RSS Reader MCP Server is a TypeScript MCP server for fetching and parsing RSS and Atom feeds. It returns structured feed metadata and items, including common and selected custom fields.

Key features

  1. 01Fetches RSS and Atom feeds
  2. 02Returns structured feed metadata and items
  3. 03Parses standard and custom fields
  4. 04Reports network and parsing errors

Use cases

  1. 01Collecting items from a feed URL
  2. 02Reading podcast or media enclosure details

MCP support

It exposes the `get_items` tool to MCP clients, which accepts a feed URL and returns parsed feed data.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

RSS Reader MCP Server

A TypeScript-based MCP server that provides RSS feed reading capabilities for fetching and parsing RSS/Atom feeds from URLs.

Overview

This MCP server implements RSS feed reading functionality by providing tools to fetch, parse, and extract structured data from RSS and Atom feeds. It uses the rss-parser library for robust feed parsing and axios for HTTP requests with proper error handling and timeouts.

Features

Tools
  • get_items - Fetch RSS feed items from a given URL
    • Input: RSS feed URL (required)
    • Output: Structured JSON containing feed metadata and items
    • Capabilities:
      • Fetches RSS/Atom feeds with 10-second timeout
      • Parses standard RSS fields (title, link, description, pubDate, author, etc.)
      • Extracts custom fields (media content, thumbnails, encoded content)
      • Handles categories and enclosures
      • Provides comprehensive error handling for network and parsing issues
Supported Feed Formats
  • RSS 2.0
  • RSS 1.0 (RDF)
  • Atom feeds
  • Custom fields including:
    • Media content and thumbnails
    • Dublin Core creator fields
    • Content-encoded fields
Error Handling
  • URL validation
  • Network timeout handling (10 seconds)
  • HTTP error status handling
  • RSS parsing error handling
  • Comprehensive error messages for debugging

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "rss-reader-server": {
      "command": "node",
      "args": ["/path/to/rss-reader-server/build/index.js"]
    }
  }
}

Usage Example

Once connected, you can use the get_items tool to fetch RSS feed items:

Tool: get_items
Input: { "url": "https://example.com/feed.xml" }

The server will return a structured JSON response containing:

  • Feed URL
  • Total item count
  • Array of feed items with:
    • Title, link, description
    • Publication date and author
    • Categories (if available)
    • Enclosure information (for podcasts/media)

Dependencies

  • @modelcontextprotocol/sdk: MCP protocol implementation
  • rss-parser: RSS/Atom feed parsing
  • axios: HTTP client for fetching feeds
  • zod: Runtime type validation

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Error Responses

The server provides detailed error messages for common issues:

  • Invalid URL format
  • Network connectivity problems
  • HTTP errors (404, 500, etc.)
  • Request timeouts
  • RSS parsing failures

All errors are returned in a structured format with descriptive messages to help with troubleshooting.

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