The MCP Server for Deep Research is a tool designed for researching complex topics, providing a complete research process from question refinement, sub - question generation to report writing, helping users systematically explore questions and generate structured reports.

This project is a deep research server based on the Ollama local large - model, providing automated research tools through the MCP protocol, capable of iterative search, analysis, and summarization of complex topics.

Octagon MCP is a market data model context protocol server that integrates the Octagon market intelligence API, providing AI agent services for public market data, private market data, and deep research.

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.

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.

Deep Research is an agent - based tool that provides web search and advanced research functions, supports PDF analysis, image description, and YouTube transcription extraction, and can run as an MCP server.

A deep research MCP service based on Ollama, realizing automated web search and knowledge synthesis through local LLM models

The OpenRouter Agents MCP Server is a research agent server based on the Model Context Protocol (MCP). It uses Claude 3.7 Sonnet as the planning agent to coordinate multiple OpenRouter models to decompose and execute complex research tasks, providing efficient and reliable AI research services.

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.

Claude Deep Research is a research server based on the MCP protocol. It provides comprehensive research capabilities for AI assistants like Claude, integrating web and academic search functions, and supporting multi - source information acquisition, content extraction, and structured analysis.

DeepResearch MCP is an intelligent research assistant based on the Model Context Protocol (MCP), providing comprehensive research support through automatic web search, content analysis, and structured report generation.

DeepRe is a Deno-based AI-driven CLI tool that automatically generates in-depth research reports using Google Gemini API. It supports multi-round iterative research and automatic evaluation, and outputs structured Markdown reports.

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.

Gemini DeepSearch MCP is an automated research agent that uses the Google Gemini model and Google Search for in-depth multi-step web research and generates high-quality, referenced answers.

Deep Research MCP is a server project based on the Model Context Protocol (MCP), aiming to conduct comprehensive network research through Tavily's search and crawl APIs and integrate the data into structured Markdown documents to support high - quality content generation for large - language models (LLMs).

The MCP Deep Web Research Server is an advanced web research tool based on Node.js, providing intelligent search queues, enhanced content extraction, and in-depth research capabilities, and can be integrated into the Claude desktop application.

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.

An in - depth research MCP server that combines Brave Search and Puppeteer web scraping, capable of extracting full web page content and exploring linked pages.

The MCP Deep Web Research Server is an advanced web research tool based on Node.js, providing intelligent search queues, enhanced content extraction, and deep research capabilities, which can integrate real - time information into Claude.

A WordPress Trac data MCP service developed in TypeScript, deployed on Cloudflare Workers, providing AI assistants with comprehensive access to WordPress development data and supporting standard MCP clients and ChatGPT Deep Research functions.