MCP-RSS-Crawler: Effortless Aggregation & Real-Time Monitoring

MCP-RSS-Crawler: Effortlessly aggregate & monitor RSS feeds. Real-time updates, automated tracking, seamless MCP Server integration – stay ahead without the hassle.

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About MCP-RSS-Crawler

What is MCP-RSS-Crawler: Effortless Aggregation & Real-Time Monitoring?

MCP-RSS-Crawler is a purpose-built server leveraging the Message Chain Protocol (MCP) to automate RSS feed aggregation and real-time content delivery to large language models (LLMs). Designed for seamless integration with platforms like Claude Desktop, it acts as an intelligent intermediary that simplifies access to curated web content through standardized API interactions and robust filtering capabilities.

How to Use MCP-RSS-Crawler: Effortless Aggregation & Real-Time Monitoring?

Implementation follows a three-stage workflow: configuration, deployment, and integration. Begin by cloning the repository and configuring the claude_desktop_config.json with your environment paths and Firecrawl API credentials. Dependency installation via Bun ensures operational readiness, while starting the server enables bidirectional communication with LLM clients. The MCP endpoint accepts structured requests to retrieve formatted summaries of the most recent feed items.

MCP-RSS-Crawler Features

Key Features of MCP-RSS-Crawler: Effortless Aggregation & Real-Time Monitoring?

Adaptive Caching: SQLite-based storage optimizes performance while maintaining data integrity
Granular Filtering: Dynamic query parameters enable topic-specific content isolation
API-First Design: RESTful endpoints support programmatic feed management and monitoring
Third-Party Integration: Native Firecrawl API compatibility expands content discovery capabilities

Use Cases for MCP-RSS-Crawler: Effortless Aggregation & Real-Time Monitoring?

Organizations leverage this solution for:

Real-time news aggregation in media monitoring systems
Automated competitor analysis through scheduled feed comparisons
Personalized content delivery in AI-powered recommendation engines
Error-resistant workflow automation via standardized API responses

MCP-RSS-Crawler FAQ

FAQ: MCP-RSS-Crawler Implementation Considerations

How does the MCP protocol enhance content delivery?

The standardized message format ensures deterministic communication between server and LLM clients, minimizing interpretation errors and enabling predictable response structures.

What safeguards exist for feed reliability?

Automatic retry mechanisms and exponential backoff strategies are implemented to handle transient network issues, maintaining operational uptime during service disruptions.

Can custom filtering logic be applied?

Yes - query parameters support boolean operators and regex patterns, allowing administrators to define precise inclusion/exclusion criteria for monitored feeds.

Content

MCP-RSS-Crawler

An MCP (Message Chain Protocol) server that fetches RSS feeds and shares them with LLMs.

Features

Fetching and caching of RSS feeds (SQLite database)
MCP protocol implementation for seamless LLM integration
Support for filtering feeds by category, source, or keywords
Comprehensive API endpoints for feed management
- Add, update, and delete feeds
Support for fetching articles from Firecrawl

Requirements

Bun
Firecrawl API key
Claude Desktop or other MCP client

Setup as MCP Server

Clone this repository
Create a claude_desktop_config.json file based on claude_desktop_config.json.example with your configuration

{
  "mcpServers": {
    "rss-crawler": {
      "command": "/path/to/bun",
      "args": ["run", "/path/to/mcp-rss-crawler/src/mcp-cli.ts"],
      "cwd": "/path/to/mcp-rss-crawler",
      "env": {
        "PORT": "5556",
        "DB_DIR": "/path/to/mcp-rss-crawler",
        "FIRECRAWL_API_KEY": "fc-<YOUR_FIRECRAWL_API_KEY>"
      }
    }
  }
}

Install dependencies:

bun install
Start Claude Desktop:

MCP Protocol

The server implements the Message Chain Protocol (MCP) which allows LLMs to access your latest RSS feeds. The MCP endpoint accepts POST requests with a JSON body containing a messages array and returns a response with the latest feed items.

Example request:

{
  "messages": [
    {
      "role": "user",
      "content": "What are the latest news from my RSS feeds?"
    }
  ]
}

Example response:

{
  "messages": [
    {
      "role": "assistant",
      "content": "Here are the latest articles from your RSS feeds:",
      "name": "rss-mcp"
    },
    {
      "role": "tool",
      "content": "[{\"title\":\"Article Title\",\"summary\":\"Article summary...\",\"published\":\"2025-03-16T04:30:00.000Z\",\"origin\":\"Feed Name\",\"link\":\"https://example.com/article\"}]",
      "name": "rss-feeds"
    }
  ]
}

Configuration Options

The server can be configured through environment variables or a .env file:

PORT - Server port (default: 5556)
FIRECRAWL_API_KEY - Firecrawl API key
DB_DIR - Database directory (default: ~/.mcp-rss-crawler)

Troubleshooting

For connection issues, check your network settings and firewall configuration
Logs are available in the console and can be used to diagnose problems
For more detailed logging, set the DEBUG=mcp-rss:* environment variable

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