Conducts multi-source web research with Gemini and Google Search, returning quick inline answers or deep structured reports while preserving Claude context.
MIT
742,604 tools. Updated 2026-11-04 16:55
"Deep research on Gemini" matching MCP tools:
- 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 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, supporting fast or deep exploration modes.MIT
- Search web or Google Drive to find new sources. Initiate fast or deep research to gather sources for your notebook.MIT
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceMCP server that runs Google Gemini Deep Research using live Chrome session cookies, enabling autonomous web research and cited report generation without an API key.3MIT
- AlicenseAqualityBmaintenanceAn MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.262 npm46 PyPI4MIT
Matching MCP Connectors
- Fodda Deep ResearchOAuth
Autonomous deep research reports merging PSFK trend graphs with citable sources.
Iterative research with configurable depth and breadth for complex topics.
- Decompose a research topic into sub-questions and launch parallel web-search workers that write markdown reports and digests to disk, enabling deep research pipelines.MIT
- Kick off a long-running deep research run on a topic and get thread/run IDs plus a polling URL; fetch cited findings on completion.MIT
- Check remaining Gemini quota across weekly and 5-hour windows without spending quota, plus today's bridge runs and token usage before starting batch deep research.MIT
- Start a deep research task asynchronously, receive an interaction ID, and poll for results. Generates a detailed report in 5-20 minutes, typically costing $2-5.MIT
- Launch an autonomous Gemini Deep Research agent to plan web searches, read sources, and produce a cited markdown report; poll its background status as it runs.MIT
- Performs multi-step live web search to investigate complex research questions. Returns a synthesised report with citations.Apache 2.0
- Perform in-depth web research on any query using ChatGPT Deep Research, returning comprehensive results with sources in 5-15 minutes. Note: blocks other ChatGPT operations during research.MIT
- Conduct iterative multi-step research on complex topics, synthesizing findings into comprehensive reports.Apache 2.0
- Conduct thorough multi-source research on complex topics, synthesizing cited web results into comprehensive analysis for technical deep-dives and comparisons.MIT
- Start a research search on the web or Google Drive to find new sources. Choose fast mode for quick results or deep mode for comprehensive coverage.MIT
- Search the web or Google Drive to find new sources for your research. Pick fast or deep mode to collect relevant sources into a NotebookLM notebook.MIT
- Switch Perplexity search modes to optimize web research: basic search, deep research, analytics/visualization, or educational exploration. Check current mode without switching.MIT
- Initiate a deep research analysis by submitting a query. Returns an interaction ID for tracking and asynchronous result retrieval.MIT
- Conduct exhaustive research on any topic, synthesizing information from multiple sources for comprehensive analysis and literature reviews.MIT
- Analyzes research papers by extracting key findings, providing critical evaluation, and placing them within the broader academic landscape for literature reviews and deep understanding.Apache 2.0