RivalSearchMCP

Overview

RivalSearchMCP is a FastMCP 3.x server that provides 10 specialized tools for comprehensive research across multiple sources. It stands out for being completely free (no API keys), offering deterministic outputs without in-server LLM processing, and providing structured outputs for agent chaining. The server integrates web search, social platform search, news aggregation, academic research, document analysis, and conflict detection capabilities in a single package, making it highly efficient for information gathering tasks.

Try asking AI

After installing, here are 6 things you can ask your AI assistant:

• web_search

  Concurrent multi-engine search across DuckDuckGo, Bing, Yahoo, Mojeek, and Wikipedia

  Try:Search for recent developments in quantum computingTry:Find information about climate change impacts
• social_search

  Search across 9 social platforms including Reddit, Hacker News, Stack Overflow, and Dev.to

  Try:What are people saying about the latest AI model releases?Try:Find discussions about Python frameworks
• news_aggregation

  Aggregate news from 5 sources with optional time-range filtering

  Try:Get tech news from this weekTry:Find recent developments in renewable energy
• github_search

  Search GitHub repositories with built-in rate limiting

  Try:Find popular Python data science librariesTry:Search for React projects with TypeScript
• map_website

  Traverse a website in research, docs, or map mode with quality scoring

  Try:Map the documentation of the FastAPI frameworkTry:Analyze the structure of a news website
• content_operations

  Perform content retrieval, analysis, extraction, scoring, and conflict detection

  Try:Score these sources for reliabilityTry:Find conflicts between these two articles about climate policy
• research_topic

  Generate topic reports or entity profiles across multiple sources

  Try:Research the impact of remote work on productivityTry:Create a profile of Elon Musk's recent ventures
• document_analysis

  Extract text from PDFs, Word documents, and images with OCR

  Try:Analyze this research paper PDFTry:Extract text from this screenshot of a document
• scientific_research

  Search academic papers and datasets from multiple databases

  Try:Find recent papers on machine learning ethicsTry:Search for datasets related to climate modeling
• research_memory

  Manage persistent research workspaces with session-based findings storage

  Try:Start a new research session on cryptocurrency trendsTry:Add these findings to my current AI research session

Comparable tools

Installation

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

claude mcp add RivalSearchMCP --url https://RivalSearchMCP.fastmcp.app/mcp

# Clone repository
git clone https://github.com/damionrashford/RivalSearchMCP.git
cd RivalSearchMCP

# Install to your MCP client:
fastmcp install claude-desktop server.py   # For Claude Desktop
fastmcp install cursor server.py           # For Cursor
fastmcp install claude-code server.py      # For Claude Code

FAQ

Is RivalSearchMCP really free?

Yes! RivalSearchMCP is 100% free and open source under the MIT License. There are no API costs, no subscriptions, and no rate limits. You can use the hosted server or run it locally.

Do I need API keys?

No. RivalSearchMCP works completely without any API keys, authentication, or configuration. Just add the URL and use all 10 tools immediately.

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