Rival Search MCP — Deep Research & Competitor Analysis for AI Assistants
Rival Search MCP is an open-source Model Context Protocol (MCP) server that gives AI assistants like Claude, Cursor, and VS Code real-time web research capabilities. It provides 10 specialized tools across 20+ data sources with zero API keys required.
10 Research Tools
Search Intelligence
- Web Search — Multi-engine search across DuckDuckGo, Yahoo & Wikipedia with automatic fallbacks
- Social Search — Search Reddit, Hacker News, Dev.to, ProductHunt & Medium without authentication
- News Aggregation — Real-time news from Google News RSS, DuckDuckGo News & Yahoo News
- GitHub Search — Search GitHub public repositories
- Website Mapper — Intelligent website crawling with research, documentation & mapping modes
Content Analysis
- Content Operations — Retrieve, stream, analyze & extract content from any URL
- Research Topic — End-to-end research workflow with source discovery
- Document Analysis — Extract text from PDF, Word, Text & Images with OCR
Deep Research
- Scientific Research — arXiv, Semantic Scholar, Kaggle & HuggingFace
- Research Agent — Autonomous AI agent generating comprehensive reports
Quick Start
Add this URL to any MCP client: https://RivalSearchMCP.fastmcp.app/mcp
Or run: claude mcp add RivalSearchMCP --url https://RivalSearchMCP.fastmcp.app/mcp
Works With
- Claude Desktop
- Cursor
- VS Code
- Claude Code
- Any MCP-compatible client
FAQ
- What is Rival Search MCP?
- An open-source MCP server that gives AI assistants real-time web research capabilities with 10 tools and 20+ data sources.
- Does it require API keys?
- No. Zero API keys, tokens, or authentication required for all 10 tools.
- Is it free?
- Yes. MIT licensed and completely free. Use the hosted server or self-host.
- How do I install it?
- Add one URL to your MCP client: https://RivalSearchMCP.fastmcp.app/mcp
View on GitHub | MIT License | Built by Damion Rashford