目录 / rivalsearch
MCP
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rivalsearch
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模型生成摘要(rules/v1 · 2026-09-27 16:29):rivalsearch:提供 retrieve_content: Enhanced content retrieval with support fo… 等能力
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。
接入信息
- 传输形态
- http
- 鉴权方式
- 鉴权未知
- 端点
https://rivalsearch--rashforddamion.run.tools
鉴权方式未标注,请核对官方文档后再接入——不要直接使用以下片段
{
"mcpServers": {
"rivalsearch": {
"url": "https://rivalsearch--rashforddamion.run.tools"
}
}
}
能力清单
| 工具 | 说明 |
|---|---|
| retrieve_content | Enhanced content retrieval with support for single/multiple resources and image extraction. Args: resource: Single URL, list of URLs, or search query (e.g., "search:python") limit: Maximum number of results for batch operations extract_images: Whether to extract and process images with OCR |
| stream_content | Retrieve streaming content from WebSocket URLs. |
| google_search | Advanced Google Search with Cloudflare bypass, rich snippets detection, and multi-engine fallback |
| traverse_website | Comprehensive website traversal with different modes for different use cases. Args: url: Website URL to traverse mode: Traversal mode - "research" (general), "docs" (documentation), "map" (structure) max_pages: Maximum number of pages to traverse max_depth: Maximum depth for mapping mode |
| analyze_content | Analyze content and extract insights. Args: content: Content to analyze analysis_type: Type of analysis - "general", "sentiment", "technical", "business" extract_key_points: Whether to extract key points summarize: Whether to create a summary |
| research_topic | End-to-end research workflow for a topic. Args: topic: Research topic sources: Optional list of specific sources to use max_sources: Maximum number of sources to research include_analysis: Whether to include content analysis |
| search_trends | Search for Google Trends data for given keywords. Args: keywords: List of search terms to analyze timeframe: Time range (e.g., 'today 12-m', 'today 5-y', 'now 1-d') geo: Geographic location (e.g., 'US', 'GB', 'CA') Returns: List of trend data for each keyword |
| get_related_queries | Get related queries for a keyword. Args: keyword: Search term to analyze timeframe: Time range for analysis geo: Geographic location Returns: List of related queries with interest values |
| get_interest_by_region | Get interest by geographic region for a keyword. Args: keyword: Search term to analyze resolution: Geographic resolution ('COUNTRY', 'REGION', 'CITY', 'DMA') timeframe: Time range for analysis geo: Geographic location filter Returns: List of regions with interest values |
| get_trending_searches | Get trending searches for a location. Args: geo: Geographic location (e.g., 'US', 'GB', 'CA') Returns: List of trending search terms |
| export_trends_to_csv | Export Google Trends data to CSV format (returns data instead of writing to file). Args: keywords: List of search terms timeframe: Time range for data geo: Geographic location filename: Optional custom filename (for reference only) Returns: Export result with data content |
| export_trends_to_json | Export Google Trends data to JSON format (returns data instead of writing to file). Args: keywords: List of search terms timeframe: Time range for data geo: Geographic location filename: Optional custom filename (for reference only) Returns: Export result with data content |
| create_sql_table | Create SQLite table structure with Google Trends data (returns schema instead of creating files). Args: keywords: List of search terms timeframe: Time range for data geo: Geographic location table_name: Optional custom table name Returns: SQL table creation result with schema and sample data |
| get_available_timeframes | Get list of available timeframes for Google Trends queries. Returns: List of available timeframe options |
| get_available_regions | Get list of available geographic regions. Returns: List of available region codes |
| compare_keywords_comprehensive | Comprehensive comparison of multiple keywords including trends, related queries, and regional interest. Args: keywords: List of keywords to compare timeframe: Time range for analysis geo: Geographic location Returns: Comprehensive comparison data |
| generate_llms_txt | Generate LLMs.txt files for a website following the llmstxt.org specification. Args: url: Website URL to generate LLMs.txt for (supports various formats: https://example.com, example.com, @https://example.com, local file paths) Returns: Generation result with file content and details |
| comprehensive_research | Perform comprehensive research using multiple tools and workflows |
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