Integrates Perplexity's Sonar API to equip AI assistants with real-time web and academic research capabilities.
Sponsored
This Model Context Protocol (MCP) server enhances any compatible AI assistant by providing direct access to Perplexity's powerful Sonar API. It enables AI systems to perform real-time web searches, delve into academic papers, and retrieve current information from across the internet. Users can filter search results by location, time, and choose from various Perplexity Sonar models, making the AI assistant significantly more informed and versatile.
Key Features
01Location-aware results, filtered by city and country
02Time-filtered search for recent results (day, week, etc.)
03Compatibility with multiple Perplexity Sonar AI models
04Academic search for scholarly sources and peer-reviewed papers
050 GitHub stars
06Real-time web search for current information
Use Cases
01Empowering AI assistants with up-to-date information for responses
02Providing context-aware information based on geographic location or recency
03Enabling AI to conduct deep research from scholarly sources
