RivalSearchMCP vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	RivalSearchMCP by damionrashford	memory by modelcontextprotocol
Stars	★ 89	★ 85,748
30d uses	—	—
Score	49	77
Official	—	✓
Categories	SearchWeb ScrapingKnowledge Graph	Knowledge GraphAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

RivalSearchMCP · Summary

RivalSearchMCP is a comprehensive research MCP server offering deterministic search across 5 web engines, 9 social platforms, academic databases, news sources, and document analysis.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

RivalSearchMCP · Use cases

Competitor research by gathering information from multiple sources simultaneously
Academic literature review with automatic conflict detection and source scoring
Market analysis by collecting news, social discussions, and GitHub activity
Document analysis and content extraction from various file types

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

RivalSearchMCP · Install

Installation Options

Connect to Live Server

**For Claude Desktop:**

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

**For Cursor:** Add the same JSON configuration to your MCP settings.

**For VS Code:** Add the JSON to .vscode/mcp.json

**For Claude Code:**

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

Local Installation with FastMCP CLI

# 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

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.