Search and Retrieval MCP Servers
The Search & Retrieval category provides integration with search engines and information retrieval systems, enabling efficient content discovery and data retrieval across different sources.
Available Integrations
- AWS KB Retrieval: AWS knowledge base search integration
- Brave Search/Kagi/Tavily/Exa: AI-enhanced web search capabilities
- Fetch: Web content retrieval and processing
- Meilisearch: Full-text search engine integration
- Inkeep: RAG-based content search
- Perplexity: Real-time web research platform
- Search1API: Unified search and crawling system
- SearXNG: Meta search engine integration
Related Articles
Retrieval Augmented Thinking MCP Servers
Learn how to implement Retrieval Augmented Generation (RAG) in MCP servers to enhance AI responses with relevant information from external knowledge bases.
Supabase in MCP
Supabase is an open-source backend-as-a-service platform that provides a powerful and scalable database solution, making it a valuable component in the Model Context Protocol (MCP). Its real-time capabilities and ease of integration enable seamless data management for MCP-driven workflows.
Browser Automation MCP Servers
Browser Automation MCP Servers