RivalSearchMCP vs fetch

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

	RivalSearchMCP by damionrashford	fetch by modelcontextprotocol
Stars	★ 89	★ 85,748
30d uses	—	—
Score	49	76
Official	—	✓
Categories	SearchWeb ScrapingKnowledge Graph	Web ScrapingAI / 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.

fetch · Summary

An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.

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

fetch · Use cases

LLMs reading news articles and blogs
Content analysis of web pages
Retrieving information from public websites
Chunked reading of large web documents

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

fetch · Install

Installation

**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:

uvx mcp-server-fetch

**Using PIP** Install via pip:

pip install mcp-server-fetch

Then run as:

python -m mcp_server_fetch

Claude Desktop Configuration

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

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