"Deep Research on MCP (Master Control Program or Related Topic)" matching MCP tools:
- Conduct comprehensive web research on any topic or question by initiating cloud-based investigations that gather and analyze information from multiple sources.AGPL 3.0
- Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.MIT
- Initiate web or Google Drive searches to find new sources for research topics. Choose between fast or deep search modes to gather relevant information for your notebook.MIT
- Initiate web or Google Drive searches to find new sources for research topics, supporting fast or deep exploration modes.MIT
- Conduct deep web research by crawling and analyzing multiple sources with LLM to answer complex queries requiring in-depth analysis.MIT
- Switch Perplexity search modes to optimize web research: basic search, deep research, analytics/visualization, or educational exploration. Check current mode without switching.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceA Python-based agent that integrates research providers (OpenAI, Gemini, DR-Tulu, Open Deep Research) with Claude Code via the Model Context Protocol for automated deep research.Last updated384MIT
- AlicenseBqualityCmaintenanceEnables web search and deep research capabilities through the Tavily API, allowing users to gather comprehensive information from the web with configurable search parameters and planning rounds.Last updated41146MIT
Matching MCP Connectors
Conduct comprehensive research projects using a virtual computer equipped with a real browser, coding tools, document creation capabilities, and more. Deep Research by Openhelm enables your agent to tackle work such as: • Market and competitor analysis • Industry and company research • Investment and acquisition due diligence • Technical and scientific investigations • Report generation with sources and evidence What makes OpenHelm the best solution for this: • Research is continuously revie
Wellness-Master is the first pay-per-call wellness API where AI agents are first-class citizens, not an afterthought. Two distinct corpora — warm content for humans, pragmatic content for agents. Settled per call in USDC on Solana via x402. Free showroom tier, then $0.01 per item. Happy agents are productive agents.
- Research a topic in depth by aggregating briefs, entities, timelines, and related data. Use to gather comprehensive background before answering complex questions, returning raw context instead of a synthesized answer.MIT
- Conduct deep multi-source research for literature reviews, comprehensive overviews, and investigative queries. Returns detailed responses with numbered citations.MIT
- Conduct deep multi-source research on any topic to produce a structured report with key findings, entity map, and information gaps.MIT
- Conduct deep web research on complex queries using intelligent crawling, search, and LLM analysis to generate comprehensive insights from multiple sources.MIT
- Conduct deep web research on complex queries using intelligent crawling, search, and LLM analysis to generate comprehensive insights from multiple sources.MIT
- Search web or Google Drive to find new sources for a notebook. Use fast mode for quick results or deep mode for thorough research.MIT
- Search the web or Google Drive to find new sources for a research query. Supports fast mode for quick results or deep mode for thorough exploration.MIT
- Analyze complex questions with deep strategic reasoning. Ideal for market commentary, risk assessment, and research requiring nuanced answers.Apache 2.0
- Conduct multi-phase deep research on a topic with evidence-tier labeling to classify claims as confirmed, strong indicator, inference, speculation, or unknown.MIT
- Ask follow-up questions on a completed Deep Research report by passing the interaction ID. Synchronous tool returns fast answers using original research context.MIT
- Perform in-depth research on complex topics using AI agents that search multiple sources, analyze findings, and compile comprehensive reports for thorough investigations.MIT
- Removes a research topic and all its data. Enter the topic name to delete.MIT
- Queue keyword cluster research for a product on a broad topic with language support. Generate SEO keywords to enhance content strategy.MIT
- Search academic papers on Semantic Scholar to find research by topic, author, or keyword, returning titles, abstracts, citations, and PDF links.MIT