damionrashford/RivalSearchMCP

RivalSearchMCP

Advanced MCP server for web research, content discovery, and trends analysis.

What it does

RivalSearchMCP provides comprehensive tools for accessing web content, performing multi-engine searches, analyzing websites, conducting research workflows, and analyzing trends data. It includes 6 core tool categories for comprehensive web research capabilities.

Why it's useful

• Access web content and perform searches with anti-detection measures
• Analyze website content and structure with intelligent crawling
• Conduct end-to-end research workflows with progress tracking
• Analyze trends data with comprehensive export options
• Generate LLMs.txt documentation files for websites
• Integrate with AI assistants for enhanced web research

How to get started

Connect to Live Server

Add this configuration to your MCP client:

For Cursor:

{
  "mcpServers": {
    "RivalSearchMCP": {
      "url": "https://RivalSearchMCP.fastmcp.app/mcp"
    }
  }
}

For Claude Desktop:

• Go to Settings → Add Remote Server
• Enter URL: https://RivalSearchMCP.fastmcp.app/mcp

For VS Code:

• Add the above JSON to your .vscode/mcp.json file

For Claude Code:

• Use the built-in MCP management: claude mcp add RivalSearchMCP --url https://RivalSearchMCP.fastmcp.app/mcp

Available Tools

Search & Discovery (1 tool)

• web_search - Advanced web search with Cloudflare bypass, rich snippets detection, and multi-engine fallback

Content Retrieval (2 tools)

• retrieve_content - Enhanced content retrieval from URLs with multiple extraction methods
• stream_content - Real-time streaming content processing from WebSocket URLs

Website Analysis (1 tool)

• traverse_website - Intelligent website exploration with different modes (research, docs, map)

Content Analysis (2 tools)

• analyze_content - AI-powered content analysis and insights extraction
• extract_links - Link extraction and analysis from web pages

Trends Analysis (10 tools)

• search_trends - Search for trends data for given keywords
• get_related_queries - Get related queries for a keyword with interest values
• get_interest_by_region - Get interest by geographic region for a keyword
• get_trending_searches - Get trending searches for a location
• export_trends_to_csv - Export trends data to CSV file
• export_trends_to_json - Export trends data to JSON file
• create_sql_table - Create SQLite table with trends data
• compare_keywords_comprehensive - Comprehensive comparison of multiple keywords
• get_interest_over_time - Get interest over time for keywords
• get_related_topics - Get related topics for a keyword

Research Workflows (1 tool)

• research_topic - End-to-end research workflow for comprehensive topic analysis

Documentation Generation (1 tool)

• generate_llms_txt - Generate LLMs.txt files for websites following the llmstxt.org specification

Key Features

• Anti-Detection: Cloudflare bypass and rate limiting for reliable scraping
• Rich Snippets: Advanced detection of featured snippets and rich results
• Multi-Engine Fallback: Automatic fallback to alternative search engines
• Progress Tracking: Real-time progress reporting for long-running operations
• Data Export: Multiple format support (CSV, JSON, SQL) for trends data
• Intelligent Crawling: Smart website traversal with configurable depth and modes

Documentation

📖 Documentation - Full documentation

Local Documentation:

• - Complete guide to using all tools
• - Real-world usage examples
• - Setup instructions
• - Get running in 5 minutes
• - Solve common issues

Who maintains this project

Open source project maintained by the community. Contributions are welcome.

License

See file for details.