Rivalsearchmcp

Name: Rivalsearchmcp
Author: damionrashford

@damionrashford

Rivalsearchmcp について

Advanced MCP server for comprehensive web research, content discovery, and trends analysis. Features multi-engine search, intelligent content extraction, website traversal, and real-time data streaming.

#search-engine #web-scraping #data-extraction #content-retrieval #ai-assistant #research-tools #trends-analysis

基本情報

カテゴリ

データと分析

トランスポート

stdio

公開者

damionrashford

投稿者

Damion Rashford

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Rivalsearchmcp?

Rivalsearchmcp is an advanced MCP server for web research, content discovery, and trends analysis. It provides comprehensive tools for accessing web content, performing multi‑engine searches, analyzing websites, conducting end‑to‑end research workflows, and analyzing trends data, designed for AI assistants and users needing reliable web research capabilities.

How to use Rivalsearchmcp?

Connect your MCP client to the remote server at https://RivalSearchMCP.fastmcp.app/mcp. For Cursor, add the JSON configuration to your MCP server settings; for Claude Desktop, go to Settings → Add Remote Server and enter the URL; for VS Code, add the configuration to .vscode/mcp.json; for Claude Code, use claude mcp add RivalSearchMCP --url https://RivalSearchMCP.fastmcp.app/mcp. No local installation is required.

Key features of Rivalsearchmcp

Anti‑detection measures including Cloudflare bypass
Rich snippets detection and multi‑engine fallback
Real‑time progress tracking for long‑running operations
Data export to CSV, JSON, and SQLite
Intelligent website crawling with configurable depth and modes
18 tools across six core categories

Use cases of Rivalsearchmcp

Perform multi‑engine web searches with anti‑detection for reliable data collection
Analyze website content, structure, and extract links using intelligent crawling
Conduct end‑to‑end research workflows on any topic with progress tracking
Search and export trends data (Google Trends) in CSV, JSON, or SQL format
Generate LLMs.txt documentation files for websites following the llmstxt.org specification

FAQ from Rivalsearchmcp

How do I connect to Rivalsearchmcp?

Add a remote server configuration to your MCP client using the URL https://RivalSearchMCP.fastmcp.app/mcp. Cursor, Claude Desktop, VS Code, and Claude Code all support this with specific setup steps.

What tools does Rivalsearchmcp provide?

It offers 18 tools in six categories: search and discovery (web_search), content retrieval (retrieve_content, stream_content), website analysis (traverse_website), content analysis (analyze_content, extract_links), trends analysis (10 tools including search_trends, get_related_queries, export_trends_to_csv, etc.), research workflows (research_topic), and documentation generation (generate_llms_txt).

Does Rivalsearchmcp have anti‑detection features?

Yes, it includes Cloudflare bypass and rate limiting for reliable scraping, along with multi‑engine fallback to handle search engine blocks.

Can I export trends data?

Yes, you can export trends data to CSV, JSON, or create an SQLite table using the dedicated export tools.

Is there any local installation required?

No. Rivalsearchmcp is a remote server; you only need to configure your MCP client to connect to the provided URL.

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