| get_examplesA | Get examples of prompts and usage patterns for this Perplexity MCP server.
This tool helps you discover what you can do with this server and provides
concrete examples of effective prompts for each tool.
Returns:
Detailed examples and usage guide for all available tools
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| ask_perplexityA | Send a prompt to Perplexity and return the response.
Sonar models have internet access and can perform searches.
Use this for: research, current events, comparisons, finding information online.
Examples of good prompts:
- "What are the latest developments in quantum computing in 2025?"
- "Compare Python vs Rust for web development"
- "Explain the recent changes in EU privacy laws"
- "Find the best practices for React Server Components"
If the user wants to execute or learn complex tasks, use the reasoning model (sonar-reasoning)
If the user wants development work requiring real-time documentation lookup, research-intensive coding, use the reasoning model (sonar-reasoning).
But by default, use the research model (sonar).
Args:
prompt: The prompt/question to send
model: Sonar model (sonar, sonar-pro, sonar-deep-research,
sonar-reasoning, sonar-reasoning-pro)
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| ask_perplexity_exact_responseA | Send a prompt to Perplexity and return the exact response without
changing anything (no additional metadata or suggestions).
Use this when you need the raw, unmodified output from Perplexity.
Examples of good prompts:
- "Give me the exact documentation for FastAPI's dependency injection"
- "What does the official Next.js docs say about App Router?"
- "Show me the raw API response format for OpenAI's latest models"
If the user wants to execute or learn complex tasks, use the reasoning model (sonar-reasoning)
If the user wants development work requiring real-time documentation lookup, research-intensive coding, use the reasoning model (sonar-reasoning).
But by default, use the research model (sonar).
Sonar models have internet access and can perform searches.
Args:
prompt: The prompt/question to send
model: Sonar model (sonar, sonar-pro, sonar-deep-research,
sonar-reasoning, sonar-reasoning-pro)
|
| ask_perplexity_for_instructionsA | Send a prompt to Perplexity and get step-by-step instructions that
Copilot can execute in agent mode.
This tool is optimized for tasks that require multiple steps or actions.
The response will be formatted as executable instructions for the AI agent.
Examples of good prompts:
- "How do I set up a Python FastAPI project with Docker?"
- "Create a React app with TypeScript and Tailwind CSS"
- "Set up CI/CD pipeline for a Node.js application"
- "Configure a PostgreSQL database with Redis caching"
Sonar models have internet access and can perform searches.
Args:
prompt: The prompt/question to send
model: Sonar model (sonar, sonar-pro, sonar-deep-research,
sonar-reasoning, sonar-reasoning-pro)
|
| ask_perplexity_to_learnA | Learn complex concepts with pedagogical explanations, examples, and analogies.
This tool uses a teaching-optimized approach with:
- Simple overviews and context
- Step-by-step breakdowns
- Concrete examples and analogies
- Code snippets when relevant
- Clear summaries and next steps
Examples of good prompts:
- "Explain how async/await works in Python"
- "Teach me about Docker containers and why they're useful"
- "What are React hooks and how do I use them?"
- "Explain database indexing with practical examples"
- "How does JWT authentication work?"
Sonar models have internet access and can perform searches.
Args:
prompt: The prompt/question to send
model: Sonar model (sonar, sonar-pro, sonar-deep-research,
sonar-reasoning, sonar-reasoning-pro)
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