Integrate Perplexity AI with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: What's the difference between Sonar, Sonar Pro, Deep Research, and Reasoning Pro models?

Sonar is the fastest model for quick factual answers and basic synthesis. Sonar Pro handles complex queries better with more thorough analysis and follow-up support. Sonar Deep Research performs exhaustive web searches and generates comprehensive reports with thorough citations — best for research papers and deep investigations. Sonar Reasoning Pro excels at logical reasoning, multi-step analysis, mathematical problems, and chain-of-thought tasks.

Query Perplexity AI for real-time web search with citations — ask questions, deep research, reasoning, and structured answers directly from any AI agent.

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Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

chat

Chat completion on Perplexity AI

The Sonar model searches the web, synthesizes information, and provides a concise answer. This is the basic query tool for factual questions, summaries, and general knowledge. Use this for quick lookups where you need accurate, up-to-date information. Ask Perplexity AI a question and get a grounded, cited answer

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Chat with citations on Perplexity AI

Each claim or fact in the response is linked to its original source. This is essential for research, fact-checking, and academic work where sources matter. The response includes a citations array with URLs of all referenced sources. Ask Perplexity AI and get answers with source citations

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Chat with domain filter on Perplexity AI

Provide domains as a comma-separated list (e.g., "arxiv.org,nih.gov,github.com"). Only sources from the specified domains will be used in generating the answer. Use this for domain-specific research, academic papers, or trusted sources only. Citations are automatically included to verify sources. Ask Perplexity AI restricting search to specific domains

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Chat with history on Perplexity AI

Provide messages as a JSON array of {role: "user"|"assistant"|"system", content: "text"} objects. This enables follow-up questions where the model understands previous context. Use this for complex queries that build on previous answers or require contextual understanding. Example: [{ "role": "user", "content": "What is quantum computing?" }, { "role": "assistant", "content": "Quantum computing uses quantum bits..." }, { "role": "user", "content": "How does it differ from classical computing?" }] Ask Perplexity AI with multi-turn conversation history

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Chat with images on Perplexity AI

The response includes an images array with URLs to related images found during the search. Use this for visual topics, product searches, or when you need images to accompany the answer. Ask Perplexity AI and get relevant images with the answer

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Chat with recency filter on Perplexity AI

Available recency filters: "hour", "day", "week", "month", "year". This ensures the answer is based on recent information only. Use this for news, recent events, or time-sensitive queries where outdated info is not useful. Ask Perplexity AI with results filtered by time recency

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Chat with related questions on Perplexity AI

The response includes a related_questions array with suggested questions for further exploration. Use this for research, learning, and discovering related topics you might want to explore. Ask Perplexity AI and get related follow-up questions

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Deep research on Perplexity AI

This model performs extensive web searches and generates detailed reports with thorough citations. It takes longer than regular queries but provides much more depth and breadth. Use this for complex topics, literature reviews, competitive analysis, or thorough investigations. Maximum tokens default to 4096 for comprehensive responses. Perform deep research with exhaustive web search and comprehensive report

Follow up on Perplexity AI

Provide the conversation history as a JSON array of messages and the follow-up question. This maintains context from previous turns in the conversation. Use this for multi-turn research sessions where each question builds on previous answers. Ask a follow-up question in an ongoing conversation with Perplexity AI

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List models on Perplexity AI

Use this to discover what models are available before choosing which one to use for your queries. List all available Perplexity AI models

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Reasoning on Perplexity AI

This model excels at multi-step reasoning, mathematical problems, code analysis, and chain-of-thought tasks. Use this for problems requiring step-by-step analysis, mathematical proofs, code reviews, or logical deductions. Citations are included where external information is referenced. Ask Perplexity AI for complex logical reasoning and step-by-step analysis

Search query on Perplexity AI

This combines all search features: cited sources, relevant images, and follow-up questions. Use this when you want the fullest possible search result with all supplementary information. The response includes content, citations array, images array, and related_questions array. Perform a comprehensive web search with citations, images, and related questions

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Structured query on Perplexity AI

The model will return the answer as JSON matching your schema definition. Provide the JSON schema as a string. This is useful for programmatic data extraction, API integrations, and when you need consistent, parseable responses. Example schema: { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "number" } } } Ask Perplexity AI and get a structured JSON response following a schema

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System prompt query on Perplexity AI

The system prompt defines how the model should respond (e.g., "You are a medical expert...", "Answer in bullet points..."). Use this for specialized queries, role-playing, formatting requirements, or domain-specific expertise. Example system prompt: "You are a senior software architect. Explain concepts with code examples." Ask Perplexity AI with a custom system prompt to set behavior and context

Security & Code Integrity Audit

Every tool in the Perplexity AI MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 95.83

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

What's the difference between Sonar, Sonar Pro, Deep Research, and Reasoning Pro models?

Sonar is the fastest model for quick factual answers and basic synthesis. Sonar Pro handles complex queries better with more thorough analysis and follow-up support. Sonar Deep Research performs exhaustive web searches and generates comprehensive reports with thorough citations — best for research papers and deep investigations. Sonar Reasoning Pro excels at logical reasoning, multi-step analysis, mathematical problems, and chain-of-thought tasks.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

Triggering Perplexity AI via Natural Language

The Perplexity AI MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.

Cursor Copilot for web search

The Perplexity AI toolkit provides structured tools for web search. It enables conversational interfaces like Claude Code to query and modify data within your ai frontier infrastructure.

Secure research assistant Access for Agents

Deploy the Perplexity AI toolkit to manage research assistant. The integration offers robust endpoints for ChatGPT to control ai frontier settings.