"Using Perplexity for Internet Data Retrieval" matching MCP servers:

Enables local LLMs to search the web, scrape pages, and extract structured data (tables, metadata) from sources like Wikipedia and IMDb, with caching and rate limiting.

Enables AI applications to access and contextualize organizational knowledge sources including GitHub repositories and internal documentation through standardized MCP protocol integration. Features OAuth 2.1 authentication, vector-based semantic search, and optimized context chunking for enterprise development workflows.

Enables AI agents to parse PDFs and search local document context through multimodal extraction and vector-based retrieval, all exposed as MCP tools.

Enables AI assistants to perform web searches and retrieve real-time information using Perplexity AI's Sonar models, with support for multiple search modes and easy integration with MCP clients.

Enables AI assistants to perform web searches and deep research via Perplexity, without API costs, using session-based authentication and multi-account pooling.

Enables AI-powered web research using your existing Perplexity Pro subscription, providing tools for search, follow-up conversations, and thread management through the Model Context Protocol.

The MCP Internet Speed Test is a specialized Model Context Protocol (MCP) server that enables AI models and agents to perform internet speed measurements.

Enables web search using Perplexity AI's API, allowing users to search the web with optional recency filters and integration with Claude, Cursor, and other MCP clients.

Enables retrieval-augmented generation by embedding queries with a chosen provider (e.g., OpenAI) and searching supported vector stores (Pinecone, pgvector) to return relevant content.

A Type 3 DAuth MCP server for Perplexity AI API that provides web search, chat, embeddings, and content moderation using Perplexity's search-focused AI models.

Provides a Python-based interface to the Perplexity API for querying responses, maintaining chat history, and managing conversations. It enables models to ask questions, continue conversations, and list chats through Perplexity AI.

An evaluation harness that probes MCP-based retrieval servers for calibration, relevance, coverage, citation integrity, and more, also exposing the probes as MCP tools for assistants and CI agents.

Enables direct SOL payments for content access by integrating MCP with the Solana blockchain for decentralized, permissionless access control.

Exposes Perplexity AI's search capabilities to Claude, enabling real-time web search and information retrieval within the assistant. The project is currently in active development with plans to support Perplexity Spaces and multi-source data synthesis.

Enables web search and webpage content fetching with SSRF protections, returning structured results.

MCP Server for the Perplexity API.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

An advanced integration package that leverages OpenRouter and Perplexity APIs to provide enhanced web search capabilities, offering both simple and complex query processing with file attachment support.

Advanced MCP server that uses OpenRouter and Perplexity APIs for enhanced query processing with multi-vendor support, query type optimization, file attachments, and robust retry logic.

Enables AI agents to fetch, crawl, extract, and search web content through a unified set of tools, with automatic routing to specialized backends.