Rivalsearchmcp

Name: Rivalsearchmcp
Author: damionrashford

@damionrashford

关于 Rivalsearchmcp

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

基本信息

分类

数据与分析

传输方式

stdio

发布者

damionrashford

提交者

Damion Rashford

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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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