RivalSearchMCP

Provides multi-engine web search, content retrieval, website analysis, trends, and research workflows via an MCP server.
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Language

5 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

RivalSearchMCP is an advanced MCP server that enables automated web research, content discovery, and trends analysis. It provides multi-engine search, intelligent crawling, end-to-end research workflows, and rich export options to streamline your information-gathering and analysis tasks.

How to use

Connect your MCP client to RivalSearchMCP to access a suite of web research tools. Use the http connection to reach the live server, then explore the available tools for searching, content retrieval, website analysis, content insights, and trends analysis. You can perform end-to-end workflows, export results in CSV or JSON, and generate documentation files for websites as part of your research process.

How to install

Prerequisites: you need Node.js or a compatible MCP client installed on your machine. Ensure your environment can reach the remote MCP server URL.

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

Additional content and notes

Connection details and usage guidance are provided below to ensure you can start using RivalSearchMCP quickly. The primary access point is a remote MCP URL that you configure in your client.

Security and access considerations: use trusted networks when connecting to the remote MCP endpoint. If you operate within an organization, ensure appropriate authorization and follow your security policies for external service usage.

Examples of typical workflows you can run include multi-engine searches with anti-detection features, intelligent crawling of target websites, tracking progress of long-running analyses, exporting trends data to CSV or JSON, and generating llms.txt documentation files for websites.

Available tools

web_search

Advanced web search with Cloudflare bypass, rich snippets detection, and multi-engine fallback.

retrieve_content

Enhanced content retrieval from URLs with multiple extraction methods.

stream_content

Real-time streaming content processing from WebSocket URLs.

traverse_website

Intelligent website exploration with modes for research, docs, or map.

analyze_content

AI-powered content analysis and insights extraction.

extract_links

Link extraction and analysis from web pages.

search_trends

Search trends data for given keywords.

get_related_queries

Get related queries for a keyword with interest values.

get_interest_by_region

Get geographic interest by region for a keyword.

get_trending_searches

Get trending searches for a location.

export_trends_to_csv

Export trends data to CSV format.

export_trends_to_json

Export trends data to JSON format.

create_sql_table

Create an SQLite table to store trends data.

compare_keywords_comprehensive

Comprehensive comparison of multiple keywords.

get_interest_over_time

Get interest over time for keywords.

get_related_topics

Get related topics for a keyword.

research_topic

End-to-end research workflow for comprehensive topic analysis.

generate_llms_txt

Generate LLMs.txt documentation files for websites.

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