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Web search using free google search (NO API KEYS REQUIRED)
The main features of pskill9/web-search are: Search and Research, Browser Automation.
Projects with overlapping indexed features include: tinyfish-io/agentql-mcp — Model Context Protocol server that integrates AgentQL's data extraction capabilities. modelcontextprotocol/servers-archived — Reference MCP servers that are no longer maintained. llmquant/quant-wiki — quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering,… jina-ai/node-deepresearch — node-DeepResearch is an autonomous web research engine that uses large language models to iteratively search, read,… btahir/open-deep-research — Open-deep-research is an automated research platform that utilizes autonomous agents to perform recursive web queries… browser-act/skills — This project provides an agentic web interaction engine designed to facilitate autonomous browser automation and…
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Reference MCP servers that are no longer maintained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