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RivalSearch MCP Server
MCPOfficialOpen SourceMIT60.4
by damionrashford • Uncategorized
An advanced MCP server for comprehensive web research, content discovery, social media analysis, and AI-powered research.
Example Use Cases
- 1
Perform multi-engine web searches and aggregate social media and news content without authentication.
- 2
Analyze website content, documents, and academic papers with OCR and research workflows.
- 3
Autonomous AI-assisted research with integrated tool usage and comprehensive report generation.
Description
RivalSearchMCP provides a suite of 10 specialized tools enabling multi-engine web searches, social media and news aggregation, website and document analysis, and academic research without requiring API keys or authentication. It supports integration with various MCP clients and includes an AI research agent for autonomous tool usage and report generation. The server is free, open source, and designed for seamless, end-to-end research workflows with progress tracking and anti-detection measures.
Capabilities(14 total)
Tools (10)
web_search
Search across Yahoo and DuckDuckGo engines with fallback support
query:string*num_results:integerextract_content:booleanfollow_links:booleanmax_depth:integeruse_fallback:boolean
map_website
Map and explore websites with different modes for different use cases. Args: url: Website URL to traverse mode: Traversal mode - "research" (general), "docs" (documentation), "map" (structure) max_pages: Maximum number of pages to traverse max_depth: Maximum depth for mapping mode
url:string*mode:stringmax_pages:integermax_depth:integergenerate_llms_txt:boolean
content_operations
Consolidated content operations: retrieve, stream, analyze, extract. Args: operation: Operation type - "retrieve", "stream", "analyze", "extract" url: URL for retrieve/stream/extract operations content: Content for analyze operation extraction_method: For retrieve - "auto", "html", "text", "markdown" analysis_type: For analyze - "general", "sentiment", "technical", "business" max_links: For extract - maximum links to extract link_type: For extract - "all", "internal", "external", "images", "documents" extract_key_points: For analyze - extract key points summarize: For analyze - create summary include_metadata: Include metadata in response
operation:string*url:anycontent:anyextraction_method:stringanalysis_type:stringmax_links:integerlink_type:stringextract_key_points:booleansummarize:booleaninclude_metadata:boolean
research_topic
End-to-end research workflow for a topic. Args: topic: Research topic sources: Optional list of specific sources to use max_sources: Maximum number of sources to research include_analysis: Whether to include content analysis
topic:string*sources:anymax_sources:integerinclude_analysis:boolean
research_agent
AI research agent using OpenRouter with autonomous tool calling capabilities
topic:string*max_sources:integerinclude_trends:booleaninclude_website_analysis:booleanresearch_depth:stringai_model:stringenable_ai_insights:boolean
Prompts (4)
comprehensive_research
Generate a comprehensive research workflow using the research_agent. This prompt guides the AI to use the research_agent tool effectively, which autonomously searches web, social media, news, GitHub, and academic sources to create a detailed research report. Args: topic: The research topic or question depth: Research depth (basic, comprehensive, expert)
topicdepth
multi_source_search
Search across multiple sources (web, social, news) and synthesize results. Guides the workflow: web_search → social_search → news_aggregation → synthesis Args: query: Search query include_social: Whether to include social media search include_news: Whether to include news aggregation
queryinclude_socialinclude_news
deep_content_analysis
Perform deep analysis of a website and its content. Guides workflow: map_website → content_operations → document_analysis Args: url: Website URL to analyze extract_documents: Whether to analyze linked documents (PDFs, etc.)
urlextract_documents
academic_literature_review
Conduct an academic literature review with document analysis. Guides workflow: scientific_research → document_analysis → synthesis Args: research_question: The research question or topic max_papers: Maximum number of papers to review
research_questionmax_papers
Quick Actions
Quick Stats
Service TypeMCP
Pricing ModelFree
Capabilities10 Tools / 4 Prompts / 0 Resources
Ownerdamionrashford
CategoryUncategorized
DependenciesStandalone
Tags
agent-skillsai-agentai-assistantclaude-codeclaude-code-skillsclaude-mcpcompetitor-analysiscursor-mcpfastmcpmarket-intelligencemcpmcp-servermodelmodelcontextprotocolocrosintresearch-toolssearch-enginetrends-analysisweb-research