Google Antigravity Directory

The #1 directory for Google Antigravity prompts, rules, workflows & MCP servers. Optimized for Gemini 3 agentic development.

Resources

PromptsMCP ServersAntigravity RulesGEMINI.md GuideBest Practices

Company

Submit PromptAntigravityAI.directory

Popular Prompts

Next.js 14 App RouterReact TypeScriptTypeScript AdvancedFastAPI GuideDocker Best Practices

Legal

Privacy PolicyTerms of ServiceContact Us
Featured on FazierVerified on Verified ToolsFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App ShowFeatured on FazierVerified on Verified ToolsFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App Show

© 2026 Antigravity AI Directory. All rights reserved.

The #1 directory for Google Antigravity IDE

This website is not affiliated with, endorsed by, or associated with Google LLC. "Google" and "Gemini" are trademarks of Google LLC.

Antigravity AI Directory
PromptsMCPBest PracticesUse CasesLearn
Home
MCP Servers
RSS Reader MCP Server
rss

RSS Reader MCP Server MCP Server

RSS feed aggregation and article extraction

rssfeedsnewsaggregator

About

## RSS Reader MCP Server: Feed Reading and Parsing The **RSS Reader MCP Server** integrates RSS/Atom feed reading into Google Antigravity, enabling feed parsing, content retrieval, and item management directly from your development environment. ### Why RSS Reader MCP? - **Universal Parsing**: Support for RSS 1.0, 2.0, Atom, and JSON Feed formats - **Content Normalization**: Consistent data structure across all feed types - **Enclosure Support**: Handle podcasts, videos, and other media enclosures - **Caching**: Built-in caching with conditional GET support - **Error Handling**: Graceful handling of malformed feeds ### Key Features #### 1. Feed Parsing ```python # Parse a feed feed = await mcp.parse_feed( url="https://blog.example.com/rss" ) print(f"Feed: {feed['title']}") print(f"Description: {feed['description']}") print(f"Items: {len(feed['items'])}") for item in feed["items"]: print(f" - {item['title']} ({item['published']})") ``` #### 2. Item Details ```python # Get detailed item information for item in feed["items"]: print(f"Title: {item['title']}") print(f"Link: {item['link']}") print(f"Author: {item['author']}") print(f"Categories: {item['categories']}") print(f"Content: {item['content'][:200]}...") # Handle enclosures (podcasts, etc) for enclosure in item.get("enclosures", []): print(f" Media: {enclosure['type']} - {enclosure['url']}") ``` #### 3. Feed Validation ```python # Validate feed validation = await mcp.validate_feed( url="https://example.com/feed" ) print(f"Valid: {validation['is_valid']}") print(f"Type: {validation['feed_type']}") if validation["warnings"]: for warning in validation["warnings"]: print(f"Warning: {warning}") ``` #### 4. Batch Operations ```python # Parse multiple feeds feeds = await mcp.parse_feeds([ "https://blog1.example.com/rss", "https://blog2.example.com/atom", "https://blog3.example.com/feed.json" ]) all_items = [] for feed in feeds: all_items.extend(feed["items"]) # Sort by date all_items.sort(key=lambda x: x["published"], reverse=True) ``` ### Configuration ```json { "mcpServers": { "rss-reader": { "command": "npx", "args": ["-y", "@anthropic/mcp-rss-reader"], "env": { "RSS_USER_AGENT": "RSSReader/1.0", "RSS_TIMEOUT": "10000", "RSS_CACHE_TTL": "300" } } } } ``` ### Use Cases **Content Integration**: Integrate external content feeds into applications and dashboards. **Podcast Processing**: Parse podcast feeds to extract episode information and media URLs. **News Aggregation**: Build custom news readers and content aggregation systems. **Data Pipeline**: Feed content into data processing pipelines for analysis. The RSS Reader MCP enables RSS/Atom feed parsing within your development environment.

Installation

Configuration
{
  "mcpServers": {
    "rss-reader": {
      "mcpServers": {
        "rss-reader": {
          "args": [
            "-y",
            "@kwp-lab/rss-reader-mcp"
          ],
          "command": "npx"
        }
      }
    }
  }
}

How to Use

  1. 1No API key required
  2. 2Docker container available
  3. 3Extracts full article content

Related MCP Servers

🧰

Toolhouse MCP

Universal AI tool platform that equips your AI with production-ready capabilities. Execute code, browse the web, manage files, send emails, and more through a unified MCP interface.

🔨

Smithery Registry MCP

The MCP server registry and discovery platform. Browse, search, and install MCP servers from the community. Find the perfect integrations for your AI development workflow.

🔍

MCP Inspector

Official debugging and testing tool for MCP servers. Inspect server capabilities, test tool calls, validate responses, and debug protocol communication in real-time.

← Back to All MCP Servers