Conduct deep multi-source research for literature reviews, comprehensive overviews, and investigative queries. Returns detailed responses with numbered citations.
MIT
347,315 tools. Last updated 2026-07-31 04:09
"File system augmented tools for deep research" matching MCP tools:
- Answers research questions by searching the web via Perplexity, ideal for fact-checking, current events, and source finding.MIT
- Generates comprehensive in-depth reports by conducting deep research on user queries. Use this tool only when the user explicitly asks for deep research.MIT
- Conduct deep multi-source web research on any question.MIT
- Investigate any topic thoroughly using deep research with optional file search and MCP tools. Get grounded web results and customizable report formats.MIT
- Generates in-depth research reports from a query, using a limited monthly pool of deep research queries.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.Last updated17MIT
- Flicense-qualityFmaintenanceEnables AI assistants to perform deep web research and generate comprehensive reports using a multi-agent divide and conquer approach.Last updated1
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.
- Generate a detailed LLM context file documenting all tools, memory system, and workflows for easy @-reference.MIT
- Analyze suspicious files for malware using REMnux tools. Detects file type automatically and runs appropriate analysis tools with configurable depth levels for triage or comprehensive investigation.GPL 3.0
- Retrieve real-time MidOS system status including knowledge base stats, vector health, MCP tools, research queue, and tips to optimize your agent's use of MidOS.MIT
- Retrieves system instructions required for the LLM to structure arguments for tools like scene-add-game-objects and scene-update-game-objects. Must be called first.ISC
- Retrieve a paginated list of active systems in Uyuni, returning system names and IDs for use with other system management tools.Apache 2.0
- Retrieve the current system prompt and configured tools for an AI agent. Understand its instructions and available capabilities.MIT
- Retrieve system-wide preferences to view global configuration settings for SmartBear's testing tools.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
- Saves all previously undownloaded render URLs from a Urlbox response to your file system.MIT
- Initiate deep research: aggregate multiple sources, evaluate credibility, generate professional HTML/DOCX/PDF report. Returns task ID for background polling.Apache 2.0
- Execute Python code with full system access for data processing, file operations, API calls, and system automation. Returns output and result, with persistent state across calls.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. Choose between fast or deep search modes to gather relevant information for your notebook.MIT
- Research complex topics using a Deep Research Agent that synthesizes information from multiple web sources with citations.MIT