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What is MCP?

The Model Context Protocol (MCP) is an open standard designed to connect AI assistants with the systems where data lives. By providing a universal interface for AI applications to access structured and unstructured data, MCP eliminates the need for custom integrations, enabling AI models to retrieve real-time, relevant information more efficiently. Learn more about MCP here.

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MCP Server for Perplexity’s Sonar API

Our MCP server implementation for Sonar allows any AI-powered tool to perform real-time, web-wide research using Perplexity’s powerful search engine. This server acts as a bridge between AI applications and the Sonar, enabling seamless integration for retrieving and synthesizing relevant, up-to-date information from the web.

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How It Works

  • The Perplexity Ask MCP Server follows MCP’s open standard, allowing any AI assistant or automation tool to connect to the Sonar API for live web searches.
  • AI models can query the server for information retrieval, leveraging Perplexity’s search capabilities to return the most relevant insights.

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Example: Using MCP with Claude

Claude is one example of how this MCP server can be used effectively. When connected to Claude, the Perplexity Ask MCP Server enables it to perform live web searches and return highly relevant, up-to-date responses, enhancing its ability to provide real-time knowledge.

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Where to Find the Documentation

Developers looking to integrate and deploy the Perplexity Ask MCP Server can find our implementation, detailed documentation, and setup instructions in our official MCP repository: 📖 Perplexity Ask MCP Server This includes:
  • Implementation code
  • Setup instructions
  • Configuration steps
  • API usage guidelines
  • Deployment and troubleshooting tips