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RivalSearchMCP
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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.
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.