Perplexity AI

Perplexity AI MCP Connector for Claude

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Access Perplexity's AI search and chat models — get web-grounded answers with citations, search the web and run AI conversations from any AI agent.

8 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Perplexity AI account to any AI agent and leverage web-grounded AI models through natural conversation.

What you can do

  • Chat Completions — Send conversations to Perplexity models (sonar, sonar-pro, sonar-reasoning) and receive responses with web citations
  • Web Search — Search the web using Perplexity's dedicated Search API with domain filtering
  • Sonar API — Get web-grounded responses from the Sonar model with citations and source URLs
  • Model Discovery — List all available Perplexity models and their capabilities

How it works

  1. Subscribe to this server
  2. Enter your Perplexity API Key
  3. Start using Perplexity models from Claude, Cursor, or any MCP-compatible client

No more switching between search engines and chat tools. Your AI acts as a web-grounded research assistant.

Who is this for?

  • Researchers — get web-grounded answers with citations for fact-checking and literature review
  • Developers — integrate web search and AI chat into applications via API
  • Analysts — search the web with domain filters and get structured search results
web-searchai-chatcitationsreal-time-datanatural-language-processingsearch-api

8 tools expose this connector's capabilities to your AI agent.

chat

Requires the model ID (e.g. "sonar", "sonar-pro", "sonar-reasoning") and messages array in JSON format. Each message must have a "role" ("user", "assistant" or "system") and "content" (text). Optionally set max_tokens, temperature (0-1), top_p (0-1), search domain filter, and whether to return images or related questions. Returns the assistant's response with citations. Send a chat message to a Perplexity model

chat_pro

Requires messages array in JSON format. Optionally set max_tokens and temperature. Returns the assistant's response with citations. Send a chat message to the Sonar Pro model for enhanced responses

chat_with_reasoning

Requires messages array in JSON format. Optionally set max_tokens, temperature and reasoning_effort (low, medium, high). Returns the assistant's response with detailed reasoning chain. Send a message to the Sonar Reasoning model for step-by-step reasoning

chat_with_reasoning_pro

Requires messages array in JSON format. Optionally set max_tokens, temperature and reasoning_effort (low, medium, high). Returns the assistant's response with detailed reasoning chain and citations. Send a message to the Sonar Reasoning Pro model for deep reasoning

get_usage

Useful for monitoring API consumption and staying within usage limits. Get API usage statistics

list_models

Each model returns its ID (e.g. "sonar", "sonar-pro", "sonar-reasoning", "sonar-reasoning-pro"), display name and capabilities. Use this to discover which models are available and their IDs for use with the chat and sonar tools. List all available Perplexity models

search

Returns search results with snippets, citations and source URLs. Requires the search query. Optionally set max_results and domain filter to limit results to specific websites. Search the web using Perplexity Search API

sonar

This is the core search-enhanced model. Requires messages array in JSON format. Optionally set max_tokens and temperature. Returns the assistant's response with web citations. Send a message to the Sonar model for web-grounded responses

See how to talk to your AI agent using Perplexity AI.

Search the web for 'latest advances in quantum computing 2025'.

Found recent articles on quantum error correction breakthroughs, Google's Willow chip achieving below-threshold error rates, and IBM's 1000+ qubit processors. Key sources include Nature, MIT Technology Review and Science Daily.

Ask Sonar: What is the current price of Bitcoin?

Bitcoin is currently trading at $87,234 USD according to CoinMarketCap data from today. The price has increased 3.2% in the last 24 hours with a market cap of $1.73 trillion. Sources: CoinMarketCap, CoinGecko.

Send a chat to sonar-pro asking 'Explain how transformers work in NLP' with return_related_questions enabled.

Sonar-pro responded with a detailed explanation of transformer architecture including self-attention, multi-head attention, positional encoding and the encoder-decoder structure. Related questions returned include: 'What is the difference between BERT and GPT?', 'How does self-attention work?' and 'What are transformer limitations?'

Log in to the [**Perplexity AI Settings**](https://www.perplexity.ai/settings/api), go to **API Key Management** and click **Create API Key**. Copy the key immediately — it starts with `pplx-` and won't be shown again.

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