search-webai-ml

RSS3

rss3-network

by rss3-network

Connect to real-time open web data across chains and social platforms using RSS3 API integration for seamless conversati

Integrates with RSS3 API to enable querying data across decentralized chains, social media platforms, and the RSS3 network for real-time open web data access within conversations.

github stars

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Real-time open web data accessNo API key required10+ query endpoints available

best for

  • / Tracking activities of crypto personalities like Vitalik
  • / Monitoring decentralized social media feeds
  • / Researching blockchain network activities
  • / RSS3 network staking analysis

capabilities

  • / Query account activities across decentralized platforms
  • / Retrieve blockchain transaction data
  • / Fetch social media activities from decentralized networks
  • / Get RSS3 network staking and node information
  • / Access AI intelligence data
  • / Batch query multiple accounts at once

what it does

Queries real-time activity data from decentralized networks, social media platforms, and blockchain accounts through the RSS3 API. Lets you track what specific users are doing across the decentralized web.

about

RSS3 is an official MCP server published by rss3-network that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to real-time open web data across chains and social platforms using RSS3 API integration for seamless conversati It is categorized under search web, ai ml. This server exposes 46 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install RSS3 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.

license

MIT

RSS3 is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Server for RSS3

An MCP server implementation that integrates the RSS3 API. Query the Open Web like a charm.

Features

Anything in https://docs.rss3.io/guide/developer/api.

For example,

  • query data on decentralized chains and platforms;
  • query data on social media platforms;
  • query data on RSS3 network (about staking, nodes, etc.);
  • query ai intels.
  • ...

Examples

What did vitalik do recently?

example response

Tell me about recent AI intels?

example response

show me the rss3 chip with id 2048

example response

what is the best rss3 node to stake?

example response

Usage

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "rss3": {
      "command": "npx",
      "args": [
        "mcp-server-rss3"
      ]
    }
  }
}

Usage with Cursor

  1. Open Settings -> Cursor Settings
  2. Click on "MCP"
  3. Add new MCP Server with this:
{
  "mcpServers": {
    "rss3": {
      "command": "npx",
      "args": [
        "mcp-server-rss3"
      ]
    }
  }
}

Usage with ChatWise

  1. Open Settings -> Tools
  2. Add new tool with this command:
npx mcp-server-rss3

FAQ

What is the RSS3 MCP server?
RSS3 is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for RSS3?
This profile displays 49 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

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

Content Monitoring & Alerts

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

Data Extraction & Aggregation

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

API-less Integration

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

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ 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.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.749 reviews
  • Valentina Reddy· Dec 24, 2024

    Strong directory entry: RSS3 surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Valentina Taylor· Dec 12, 2024

    Useful MCP listing: RSS3 is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Jin Choi· Dec 12, 2024

    RSS3 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Mia Kim· Dec 12, 2024

    RSS3 is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Valentina Ghosh· Nov 15, 2024

    Useful MCP listing: RSS3 is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Mia Brown· Nov 3, 2024

    Strong directory entry: RSS3 surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Jin Perez· Nov 3, 2024

    I recommend RSS3 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Mia Jackson· Oct 22, 2024

    I recommend RSS3 for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Arya Farah· Oct 22, 2024

    Strong directory entry: RSS3 surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dev Mehta· Oct 6, 2024

    RSS3 reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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