Perplexity Web Search
bylv042
0Integrates Perplexity's Sonar API to equip AI assistants with real-time web and academic research capabilities.
About
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
- Location-aware results, filtered by city and country
- Time-filtered search for recent results (day, week, etc.)
- Compatibility with multiple Perplexity Sonar AI models
- Academic search for scholarly sources and peer-reviewed papers
- 0 GitHub stars
- Real-time web search for current information
Use Cases
- Empowering AI assistants with up-to-date information for responses
- Providing context-aware information based on geographic location or recency
- Enabling AI to conduct deep research from scholarly sources
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