DeepContext is an MCP server that provides symbol - aware semantic search capabilities for code assistants. By intelligently parsing code structure and semantic relationships, it can accurately locate relevant code snippets in large codebases and improve development efficiency.

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.

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

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.

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.

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.

An advanced Obsidian MCP server that interacts with Obsidian through the Local REST API plugin, enabling AI agents to deeply understand the knowledge base structure, links, and content, and providing functions such as file operations, search, note management, and knowledge base analysis.

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.

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.

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.

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).

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.

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.

A multi-agent deep research system based on MCP, integrating LinkUp search, CrewAI coordination, and the Gemini large model, providing an interactive interface through Streamlit.

An advanced Obsidian MCP server that interacts with Obsidian through the Local REST API plugin, enabling AI agents to deeply understand and manage the knowledge base, including functions such as file operations, search, note management, and library analysis.

An MCP server based on TypeScript that implements deep web search functionality through the LinkUp API, providing structured search results.

A simple MCP search service based on Jina AI, providing web search, URL content scraping, and deep search functions.

The MCP Deep Web Research Server is an advanced web research tool based on the Model Context Protocol, providing intelligent search queues, enhanced content extraction, and in - depth research capabilities, and can integrate real - time information into Claude.

An MCP server implementation based on the Gemini Flash 1.5 API. It coordinates multiple modular AI services (chatting, searching, RAG, deep reasoning, etc.) through a central router to achieve intelligent request distribution and response integration.

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 functions, and can be integrated with the Claude desktop application for real-time information retrieval.

A multi - agent deep research system based on the MCP protocol, which uses CrewAI to coordinate three professional AI agents for web search, information analysis, and content creation, supporting local AI processing and a web interface.

DeepChat is a powerful cross - platform AI assistant that supports the deployment of multiple cloud LLMs and local models, and has rich chatbot functions and search extension capabilities.