The official MCP server implementation for the Perplexity API Platform
ppl-ai/modelcontextprotocol 的主要功能包括：AI & Machine Learning, Search and Research。
ppl-ai/modelcontextprotocol 的开源替代品包括： vectorize-io/vectorize-mcp-server — Official Vectorize MCP Server. jina-ai/node-deepresearch — node-DeepResearch is an autonomous web research engine that uses large language models to iteratively search, read,… llmquant/quant-wiki — quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering,… browser-act/skills — This project provides an agentic web interaction engine designed to facilitate autonomous browser automation and… aannoo/hcom — Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI,… 78/xiaozhi-esp32 — Xiaozhi-esp32 is an open-source firmware platform designed for building voice-interactive embedded systems on…
Official Vectorize MCP Server
quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering, and algorithmic trading. It serves as a centralized library of documentation covering mathematical models, financial instruments, and systematic trading strategies. The project integrates AI-driven capabilities through a modular retrieval-augmented generation framework that extracts structured data from research papers and news. It features a multi-agent workflow engine designed to discover and validate predictive alpha factors, alongside tools for local large language model
node-DeepResearch is an autonomous web research engine that uses large language models to iteratively search, read, and reason over web content to answer complex questions. It provides a chat-based interface that displays real-time reasoning steps and final answers, and can be configured to focus exclusively on academic papers by limiting searches to academic repositories. The research engine operates through an agentic search-read-reason loop that repeatedly searches, reads, and reasons until a stopping condition is satisfied. It enforces a token budget to cap total consumption and failed at
This project provides an agentic web interaction engine designed to facilitate autonomous browser automation and large-scale data extraction. It serves as a framework for building and deploying agents that can navigate complex, JavaScript-rendered websites, interact with page elements, and execute multi-step workflows. By providing a structured environment for browser control, the system enables the creation of reusable automation scripts that can be deployed across diverse web platforms. The platform distinguishes itself through a comprehensive suite of security and traffic management tools,