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.

Perplexity Advanced MCP is an advanced integration package that provides enhanced query processing capabilities through OpenRouter and Perplexity API, supporting simple and complex queries, and optimizing cost and performance.

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

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.

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.

OpenDeepSearch is an open - source research tool and an alternative to Perplexity Deep Research. It provides in - depth search and research capabilities through the Model Context Protocol (MCP). It can break down complex problems into sub - problems, perform multiple rounds of searches using the Brave Search API, analyze the results, and generate structured research reports. It supports citation of sources and can be integrated into MCP clients such as Claude Desktop and Cursor.

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.

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

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.

The MCP server for the Perplexity API, providing chat completion with references.

A model control protocol server that supports parallel queries from multiple LLM providers. It can simultaneously call the APIs of OpenAI, Anthropic, Perplexity, and Google for cross-verification, providing a unified interface and supporting asynchronous processing.

An internet research service based on Perplexity AI

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.

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.

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 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 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.

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

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

An MCP server that provides Perplexity API web search functionality for the Claude desktop application

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

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.

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.

An MCP server based on the Perplexity API, providing web search tools.

Perplexity MCP Server is a Python-based interface service that provides tools for interacting with the Perplexity API, supporting query responses, maintaining chat history, and managing conversations. It configures models through environment variables and stores chat data locally, making it suitable for integration in development environments.

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

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

An MCP server implementation for the Perplexity API, providing chat completions with citations

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

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

The MCP Perplexity Server is a server that provides an API interface for asking questions to the model through the Perplexity API. It supports rapid Docker deployment and local Node.js operation, and multiple parameters can be configured.

This project is an MCP server implementation based on the Model Context Protocol, focusing on providing web browsing functionality for the Claude application and integrating Perplexity's Sonar API for real-time web searches.

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.

An MCP server based on the Perplexity API, providing intelligent web search functions, supporting automatic model selection and various search filtering functions.

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.