ResearchMCP is a research tool that combines the Model Context Protocol (MCP) with multiple search engines, aiming to provide research capabilities similar to ChatGPT DeepResearch.

A search service implementation based on the MCP protocol, supporting multiple search engines and providing content acquisition capabilities for AI tools.

Open Deep Research MCP Server is an AI - driven deep research assistant that conducts iterative deep research by combining search engines, web scraping, and AI technology to generate comprehensive reports. It supports two usage methods: MCP protocol and CLI, and has functions such as reliability assessment, scope control, and automatic generation of follow - up questions.

MCP-GetWeb is a protocol server that provides web search and content extraction functions, supporting multiple search engines such as DuckDuckGo, Google, and Felo AI, and can crawl URL content, extract metadata, and convert it into Markdown format.

The Search Fusion MCP Server is a highly available multi-engine search aggregation service that provides intelligent failover, a unified API, and LLM-optimized content processing. It supports 7 search engines such as Google, Serper, and Jina AI, and has advanced functions such as concurrency control, connection pool management, and automatic proxy detection.