Search Fusion
Aggregates multiple search engines, providing intelligent failover, a unified API, and LLM-optimized content processing for high-availability search.
About
Search Fusion is a powerful MCP Server designed to centralize and enhance web search capabilities. It intelligently integrates various search engines like Google, Serper, Jina AI, DuckDuckGo, Exa, Bing, and Baidu, offering robust features such as automatic failover and priority-based routing to ensure continuous service availability. Beyond simple search aggregation, it provides a unified JSON response format, built-in rate limiting, and advanced web content fetching optimized for Large Language Models, including support for pagination and historical webpage retrieval via the Wayback Machine, making it ideal for AI-driven applications.
Key Features
- LLM-Optimized Web Content Fetching with Automatic Pagination
- Dedicated Wikipedia and Wayback Machine Search Tools
- 1 GitHub stars
- Unified Search API and Consistent Response Format
- Intelligent Failover and Priority-Based Routing
- Multi-Engine Search Integration (Google, Serper, Jina, DuckDuckGo, Exa, Bing, Baidu)
Use Cases
- Building highly available applications that require reliable web search capabilities.
- Integrating diverse search engine results into a single, consistent format for unified data access.
- Providing Large Language Models (LLMs) with real-time, optimized web content for enhanced reasoning and knowledge retrieval.
