306,570 tools. Last updated 2026-07-25 13:38
"Using SearxNG for Deep Research" matching MCP tools:
- Perform web searches using SearXNG API to gather information, find news and articles, or explore diverse online sources for general queries and recent events.MIT
- Query multiple search engines simultaneously using searXNG to aggregate results from Google, Bing, DuckDuckGo, and more. Access comprehensive web information even offline, simplifying efficient research.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 the web privately using a self-hosted SearXNG instance with local ML reranking, domain filtering, and result caching.MIT
- Cancel an active deep research session and save its checkpoint for later resumption using deep_research with resume_research_id.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 updated391MIT
- Alicense-qualityBmaintenanceAn MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.Last updated154MIT
Matching MCP Connectors
Autonomous buy-side research: diligence, earnings, SEC filings, comp sets. Source-cited real data.
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
- Perform deep web searches to find current information, research topics, or answer questions using real-time data from multiple search providers.MIT
- Perform web searches across multiple search engines aggregated by SearXNG, with options to filter by categories, languages, time ranges, and safe search levels for comprehensive results.MIT
- Retrieve autocomplete suggestions for partial search queries, falling back to query expansion when SearxNG is unavailable.ISC
- 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
- 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
- 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
- Perform deep buyer persona research for a market pipeline using 25-35 web searches. Discover insights to transform ideas into revenue.MIT
- Conducts in-depth analysis and generates detailed research reports on complex topics using advanced AI models for comprehensive investigation.MIT
- Conduct deep multi-source web research on any question.MIT
- Analyze and enhance research on any topic using advanced AI models, providing detailed insights and context for informed decision-making and knowledge expansion.MIT
- Conduct deep web research on any query using crawling, search, and AI analysis to gather comprehensive information from multiple sources.MIT
- Search the web using DuckDuckGo, Brave, or SearXNG with options for time range, domain filtering, and content retrieval.MIT
- Perform comprehensive research and detailed analysis using deep reasoning for complex queries, technical investigations, and academic topics.