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MCP RSS: Smart Analysis & Scalable Content Curation - MCP Implementation

MCP RSS: Smart Analysis & Scalable Content Curation

MCP RSS empowers teams to master RSS workflows with seamless Model Context Protocol integration, smart analysis, and intuitive scalability—streamlining content curation at every turn.

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About MCP RSS

What is MCP RSS: Smart Analysis & Scalable Content Curation?

MCP RSS is a specialized server built on the Model Context Protocol (MCP) framework, designed to streamline the ingestion, organization, and distribution of RSS feed content. It combines intelligent parsing capabilities with automated workflow management to ensure users can effortlessly aggregate, filter, and interact with articles from diverse sources. The system prioritizes adaptability, enabling seamless integration into existing content ecosystems while maintaining performance efficiency.

How to Use MCP RSS: Smart Analysis & Scalable Content Curation?

Setup Overview

  1. Install prerequisites: Node.js v14+ and a MySQL database
  2. Configure MySQL via Docker or manual setup
  3. Deploy the MCP RSS server using npm commands with tailored environment variables
  4. Utilize the provided API endpoints to interact programmatically

Configuration Example

{
  "key": "rss",
  "command": "npx",
  "args": ["mcp_rss"],
  "env": {
    "OPML_FILE_PATH": "/path/to/your/feeds.opml",
    "DB_HOST": "localhost",
    "RSS_UPDATE_INTERVAL": "15"
  }
}
  

MCP RSS Features

Key Features of MCP RSS: Smart Analysis & Scalable Content Curation?

  • OPML Integration - Import subscriptions via OPML files for instant setup
  • Automated Updates - Self-managing content fetching with customizable refresh intervals
  • Status Management - Track article preferences through favorite tagging and status tracking
  • Granular Filtering - Source-based and status-based query parameters for precise content retrieval
  • API-First Design - RESTful endpoints for programmatic access to articles and sources

Use Cases of MCP RSS: Smart Analysis & Scalable Content Curation?

Content Aggregation Hubs

Publishers can unify multiple RSS sources into centralized dashboards for editorial review

Personalized News Feeds

Developers build adaptive platforms that curate articles based on user-defined criteria

Automated Monitoring Systems

Enterprise solutions track industry-specific content streams with real-time update notifications

MCP RSS FAQ

FAQ: MCP RSS Implementation Insights

What databases are supported?

MySQL is the primary backend, with future plans for PostgreSQL compatibility

How does scaling work?

Horizontal scalability achieved through stateless API design and distributed OPML processing

Can I customize update intervals?

Yes - configure RSS_UPDATE_INTERVAL in seconds via environment variables

Content

MCP RSS

MCP RSS is a Model Context Protocol (MCP) server for interacting with RSS feeds.

Features

  • Parse OPML files to import RSS feed subscriptions
  • Automatically fetch and update articles from RSS feeds
  • Expose RSS content through MCP API
  • Mark articles as favorites
  • Filter articles by source and status

Installation

Prerequisites

  • Node.js (v14 or higher)
  • MySQL database

Setup MySQL

$ docker run -itd --name mysql-test -p 3306:3306 -e MYSQL_ROOT_PASSWORD=123456 mysql

Install MCP

This MCP uses stdio for communication. Fill in npx mcp_rss in the command, fill in the configuration that needs to be customized in the environment variable, and at least use your own opml file.

Use in claude desktop

{
  "key": "rss",
  "command": "npx",
  "args": [
    "mcp_rss"
  ],
  "env": {
    "OPML_FILE_PATH": "/Users/guyanhua/feeds.opml"
  }
}

Configuration

Set the following environment variables to configure MCP RSS:

Configuration Options

Option Description Default Value
DB_HOST Database host localhost
DB_PORT Database port 3306
DB_USERNAME Database username root
DB_PASSWORD Database password 123456
DB_DATABASE Database name mcp_rss
OPML_FILE_PATH Path to your OPML file with RSS feeds "./feeds.opml"
RSS_UPDATE_INTERVAL Interval to fetch RSS updates (in minutes) 1

MCP API Reference

The MCP RSS server exposes the following API methods:

get_content

Get articles from subscribed RSS feeds.

Parameters:

Parameter Type Description Required
status string Filter by article status ("normal" or "favorite") No
source string Filter by source (feed title) No
limit number Maximum number of articles to return No (default: 10)

Response:

{
  "articles": [
    {
      "id": 1,
      "title": "Article Title",
      "content": "Article content...",
      "link": "https://example.com/article",
      "pubDate": "2023-01-01T12:00:00Z",
      "fetchDate": "2023-01-01T12:30:00Z",
      "status": "normal",
      "feedTitle": "Example Feed",
      "feedCategory": "Technology"
    }
  ],
  "success": true
}

get_sources

Get all available RSS feed sources.

Parameters: None

Response:

{
  "sources": [
    {
      "id": 1,
      "title": "Example Feed",
      "category": "Technology"
    }
  ],
  "success": true
}

set_tag

Set the status of an article (normal or favorite).

Parameters:

Parameter Type Description Required
status string Article status ("normal" or "favorite") Yes
articleId number ID of the article to update Yes

Response:

{
  "success": true,
  "message": "Article 1 status has been updated to favorite"
}

License

MIT

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