The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's AI model to automatically analyze query complexity and select the best model to process requests. It supports three tools: search, reasoning, and in - depth research.

An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's AI model to provide automatic query complexity detection and optimal model routing functions, supporting three tools: search, reasoning, and in - depth research.

A simple MCP server based on Perplexity AI, providing web search functionality and supporting development and deployment in the Windows environment.

Octagon Deep Research MCP provides AI-driven in-depth research and analysis services, integrates advanced research agents, has no rate limit, is faster than ChatGPT in-depth research, and is more comprehensive than Grok DeepSearch or Perplexity. It supports various MCP clients and is suitable for comprehensive research on any topic or industry.

A research - level MCP server implementation that interacts with the Perplexity website without an API key, providing AI - driven research functions such as web search, document retrieval, API lookup, and code analysis.

An MCP server implementation integrating the Perplexity AI API, providing advanced search functions and multi - model support.

The Perplexity MCP Server is an intermediate server written in Go that provides AI assistants (such as Claude and Cursor) with seamless access to the Perplexity API, including real-time search and complex reasoning functions.

An intelligent research assistant integrating Perplexity AI, providing functions such as search, document retrieval, API discovery, and code modernization check, supporting context tracking and efficient API management.

A code problem-solving service that combines various AI and community resources. By integrating the analyses of Gemini AI, Stack Overflow, and Perplexity AI, it provides developers with multi - perspective programming solutions.

An internet research service based on Perplexity AI

The Perplexity MCP Server is a Node.js-based server that implements Anthropic's Model Context Protocol (MCP) for connecting Claude and Perplexity's language models, providing enhanced AI interaction tools.

Perplexity Deep Research MCP is a Model Context Protocol server that provides web search functionality for the Perplexity AI API, supporting AI assistants to perform web searches using the sonar - deep - research model.

A Perplexity AI desktop application based on Electron, with full system permissions and features, including clipboard operations, drag-and-drop functionality, voice and media permissions, etc.

An intelligent code analysis and debugging service based on the Perplexity AI API, integrated with the Claude desktop client through the MCP protocol, providing functions such as error analysis, pattern recognition, and solution recommendation.

An intelligent code analysis and debugging server based on the Perplexity AI API, seamlessly integrated with the Claude desktop client, providing error analysis, pattern recognition and solution recommendations.

An MCP server based on the Perplexity API that provides web search functionality for AI assistants, supporting time filtering and result citation.

An MCP server based on TypeScript, providing tools for interacting with the Perplexity AI API, supporting search - enhanced queries and displaying internal reasoning processes.

A tool that integrates the Perplexity AI API into Claude Desktop, supporting web search and providing answers with citations

The Perplexity AI MCP Server project provides a standardized interface to access the features of Perplexity AI, including chatting, searching, and document retrieval.

ResearchMCP is a research service based on the MCP protocol, providing internet research functions by integrating the Perplexity AI API, and supporting configurable parameters and structured logs.

The Perplexity Sonar MCP server is a server that implements the MCP protocol, providing clients such as Claude Desktop with the ability to access Perplexity's advanced AI models, supporting real-time web search and multiple model selection.

An MCP service implementation that adds Perplexity AI tool support to Claude Desktop

The Perplexity MCP Server is a middleware written in Go that provides real-time search and complex reasoning capabilities for AI assistants

A Node.js proxy server that forwards OpenAI-compatible or MCP native requests to the Perplexity AI Sonar model and supports streaming.

A smart assistant solution server for code problems that combines Gemini AI, Stack Overflow, and Perplexity AI, providing multi - source technical analysis and code repair suggestions

A model control protocol server that supports parallel queries from multiple LLM providers and can cross - verify the AI responses of OpenAI, Anthropic, Perplexity, and Google simultaneously.

The Perplexity AI MCP Server project provides standardized interfaces to access the functions of Perplexity AI, including chatting, searching, and document retrieval.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's dedicated AI model to automatically detect query complexity and route requests to the most appropriate model for the best results. It supports three tools: search, reasoning, and in - depth research, suitable for query tasks of different complexities.

The Perplexity MCP Server is a Node.js - based server that implements Anthropic's Model Context Protocol (MCP) to connect Claude with Perplexity's language models and provides enhanced AI interaction tools. It supports two main tools: advanced chat completion and a simplified single - query interface.

An intelligent code analysis and debugging service based on the Perplexity AI API, seamlessly integrated with the Claude desktop client via the MCP protocol, providing functions such as error analysis, pattern recognition, and solutions.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's dedicated AI models to automatically select the best model for answering based on query complexity. It supports three tools: quick search, complex reasoning, and in - depth research, suitable for query needs of different complexities.

A research - level MCP server implementation that interacts with the Perplexity website without an API key, providing AI - driven research functions such as web search, document query, and API discovery.

A code problem-solving service that combines multiple AI and community resources. By integrating the analysis of Gemini AI, Stack Overflow, and Perplexity AI, it provides multi - angle programming solutions for developers.

The Perplexity Insight MCP Server is an MCP server implementation based on Node.js, used to interact with the Perplexity AI API and provide a standardized model context protocol interface.

An MCP server implementation integrated with the Perplexity AI API, providing multi-model advanced search functionality, supporting the official Sonar series of models, and including complete configuration and development documentation.

A simple MCP server based on Perplexity AI, providing web search functionality

An MCP server that integrates the Perplexity AI search - enhanced language model with the Claude desktop, providing three tools of different complexity levels, suitable for quick queries, technical analysis, and in - depth research scenarios.

This project is a collection of multiple Model Context Protocol (MCP) servers, aiming to provide dedicated interfaces for large language models. These servers are created by non - professional developers with the help of AI tools and currently include two functional modules: Perplexity search integration and keyword analysis.