Web search using free google search (NO API KEYS REQUIRED)
The main features of pskill9/web-search are: Search and Research, Browser Automation.
Open-source alternatives to pskill9/web-search include: modelcontextprotocol/servers-archived — Reference MCP servers that are no longer maintained. tinyfish-io/agentql-mcp — Model Context Protocol server that integrates AgentQL's data extraction capabilities. 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,… achiya-automation/safari-mcp — Native Safari browser automation for AI agents. 80 tools via AppleScript — zero overhead, keeps logins, runs silently… 34892002/bilibili-mcp-js — Bilibili video search MCP (Model Context Protocol) service - 哔哩哔哩视频搜索MCP服务.
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
Reference MCP servers that are no longer maintained
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
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