Search the web via SearXNG across sources like web, news, and images; optionally scrape each result to extract markdown, HTML, links, or screenshots for research.
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470,815 tools. Updated 2026-08-23 14:34
"A search assistant for performing deep web research" matching MCP tools:
- Returns a structured research prompt for pharmacogenomic data when no local study exists. Use web search then save results via save_drug_research.MIT
- Search the web or Google Drive to find new sources, then poll status and import results. Choose fast or deep mode to match your research need.MIT
- Search the internet using Brave Search API or DuckDuckGo to find relevant information for research tasks.MIT
- Search the live web and get ranked JSON results. Use deep mode for multi-step search with progress updates.MIT
- Search the web with neural matching to get relevant results and answers. Retrieve page contents and find similar pages for research.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceComprehensive web research toolkit with 13 tools for searching (via SearXNG), crawling, package discovery, GitHub metrics, error translation, API documentation lookup, data extraction, technology comparison, and service status checking.149MIT
- AlicenseNot gradedqualityCmaintenanceEnables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.17MIT
Matching MCP Connectors
Autonomous deep research reports merging PSFK trend graphs with citable sources.
Autonomous buy-side research: diligence, earnings, SEC filings, comp sets. Source-cited real data.
- Perform deep buyer persona research for a market pipeline using 25-35 web searches. Discover insights to transform ideas into revenue.MIT
- Execute a deep web research task that searches, reads, and synthesizes information from across the web, returning a task ID to track progress.Apache 2.0
- 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
- Search the web, fetch top pages, summarize content, and synthesize findings to answer a research question.MIT
- Initiate web or Google Drive searches to find new sources for research topics, supporting fast or deep exploration modes.MIT
- Initiate web or Google Drive searches to discover new sources for research projects, supporting both fast and comprehensive search modes.
- Switch Perplexity search modes to optimize web research: basic search, deep research, analytics/visualization, or educational exploration. Check current mode without switching.MIT
- Conduct deep web research by crawling and analyzing multiple sources with LLM to answer complex queries requiring in-depth analysis.MIT
- Conduct deep research by aggregating results from multiple search backends, scoring by relevance, and removing duplicates.PythonMIT
- Search web or Google Drive to find new sources. Initiate fast or deep research to gather sources for your notebook.MIT
- Run a multi-step deep research investigation: decompose a query into sub-queries, search the web, read pages, and synthesize a structured markdown report with inline citations and a source list.MIT
- Log web searches before performing them to avoid duplicate research across agents. Returns a warning if a similar search was already conducted.MIT
- Retrieve the full text of a tela page by its ID, typically from search results. Read-only access for when the Deep Research contract requires it.AGPL 3.0