"A platform utilizing perplexity concepts for information retrieval" matching MCP servers:

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.

Official MCP server for Perplexity API Platform, enabling AI assistants with real-time web search, reasoning, and research capabilities through Sonar models and the Search API.

Enables MCP clients to query a document knowledge base with permission-aware hybrid retrieval, listing sources, searching snippets, and fetching document context while reporting confidence for each result.

A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.

advance mcp server utilizing Perplexity, without the need for an API key

A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.

Enables agents to search a shared index through MCP, returning token-budgeted results filtered by each user's access permissions.

MCP Server for the Perplexity API.

Integrates Perplexity AI's chat capabilities with real-time web search, enabling users to ask questions and receive AI-powered answers with up-to-date information and citations from verified web sources.

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

An MCP server that enables AI assistants to query Perplexity AI for web-grounded answers with citations and advanced search filters.

MCP server that enables Claude to request chat completions with citations from the Perplexity API.

Interacting with Perplexity API.

Enables integration of Perplexity's AI API with LLMs, delivering advanced chat completion by utilizing specialized prompt templates for tasks like technical documentation, code review, and API documentation.

This server allows users to perform web searches using Perplexity AI, providing a tool for retrieving search results through a simple API interface.

Enables web search functionality through Perplexity AI's API with time-based filtering options. Allows users to search the web for recent information within specified time periods (day, week, month, or year).

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 custom Model Context Protocol implementation that integrates Perplexity AI with Claude Desktop, allowing users to access Perplexity's AI models for both single questions and multi-turn conversations.

Exposes Perplexity AI's search and synthesis capabilities through MCP, enabling Claude Desktop and other MCP clients to search the web, synthesize sources, and get cited answers.

Provides access to Perplexity AI models through two tools: ask\_perplexity for expert programming assistance and chat\_perplexity for maintaining ongoing conversations with context preservation.

Perplexity AI search, reasoning, research, and compute - MCP server, dashboard, and multi-IDE auto-config for VS Code.

Enables post-hoc auditing of an agent's retrieval supply chain by recording digest-only provenance from source through chunk, transformation, context and decision, then reporting influence rankings with an honest unexplained residual, lineage traces, advisory source trust and retirement recommendations, and retrieval schema drift. It never performs retrieval, ranks documents at query time, or blocks decisions.

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.

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.

An Apify Actor implementing the Model Context Protocol for Perplexity API, enabling AI assistants to search and access information through a standardized interface.

Enables MCP-based access to Adhoc documentation, providing search, content retrieval, and feedback issue creation with audience gating and leak protection.

An MCP server that retrieves relevant PDF chunks via local embeddings and returns them to IDE agents (Cursor, Kiro, Claude Code) for answer generation.

Integrates Perplexity API into Claude/Cowork as MCP tools for search, trend scouting, and deep research.

An MCP server for Perplexity's Agent API, enabling multi-step web research with citations through tools to start, collect, and cancel research runs.

A comprehensive MCP server that provides intelligent access to Perplexity AI's search and reasoning models with automatic model selection, conversation management, and project-aware storage. Supports real-time search, deep research, chat sessions, and async operations for complex queries.

An MCP server that enables Claude to perform web searches using Perplexity's API with intelligent model selection based on query intent and support for domain and recency filtering.

Integrates Perplexity AI's search and research capabilities into Claude Code, enabling web-grounded answers, deep research, code review, and more with real-time citations.

Enables AI agents to search private GitHub Pages by authenticating in a dedicated browser and retrieving indexed sections from a local SQLite database, with support for multiple sites and languages.

Enables real-time web search with source citations by leveraging Perplexity AI's Sonar models through SAP AI Core. It integrates with Claude Code to provide deep analysis, reasoning, and up-to-date information from the web.

An MCP server integrating Perplexity AI's API to offer advanced search capabilities with support for multiple models and result configuration.

Facilitates web search capabilities using Perplexity's API, allowing users to retrieve search results through Claude's interface.

Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.

Enables AI agents and users to query Perplexity AI's premium models (GPT-5.4, Claude 4.6 Opus, Gemini 3.1 Pro, etc.) via MCP tools, CLI, or API, with support for deep research, model council, and multi-turn conversations.

Enables querying Perplexity AI models via Polza.ai for search, research, and model guidance.

An MCP server that brings Perplexity's Sonar models with real-time web search capabilities to Claude Desktop and other MCP clients.