Automates multi-source research by running parallel searches across Google, Bing, and DuckDuckGo, extracting full content, and synthesizing a cited report for complex questions.
MIT
650,431 tools. Updated 2026-10-13 05:26
"A multifunctional research MCP server for a deep researcher subagent" matching MCP tools:
- Run deep research queries and receive a structured briefing with executive summary, key findings, and caveats. Each call is metered and logged to an immutable evidence ledger.MIT
- Run a one-time deep web research task by submitting a query. The agent searches, reads, and synthesizes information from across the web, then returns a task ID for polling or webhook delivery.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, supporting fast or deep exploration modes.MIT
- Conduct deep multi-agent research on any topic, spawning parallel subagents for comprehensive coverage and producing a cited report with adaptive stopping.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceA multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.11MIT
- AlicenseAqualityDmaintenanceMCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.11MIT
Matching MCP Connectors
- Fodda Deep ResearchOAuth
Autonomous deep research reports merging PSFK trend graphs with citable sources.
- deep-researchOAuth
Autonomous buy-side research: diligence, earnings, SEC filings, comp sets. Source-cited real data.
- Runs a complete deep-research pipeline that breaks a question into sub-questions, gathers evidence across sources, and returns a structured report with citations and a synthesis template.MIT
- Check MCP server health and cache stats to diagnose issues or monitor rate limits. Optionally verify API connectivity with deep mode for thorough status checks.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 web or Google Drive to find new sources. Initiate fast or deep research to gather sources for your notebook.MIT
- Verify the Research Intelligence MCP server status and retrieve its current runtime metadata.MIT
- Submit a deep web research job for explicit deep research requests. Returns a research_id immediately; the job runs in the background for later result retrieval.MIT
- Create a structured research plan with sub-questions, suggested sources, and cost estimates before executing deep research. Use it to review and refine the plan, then pass the returned JSON to the research tool for execution.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
- Start a web or Google Drive search to find new sources for fast or deep research, then poll status and import results into NotebookLM.MIT
- Retrieve comprehensive research context for a researcher by identifier, including S-Index metrics, paper impact, data source connections, and quality scores from multiple academic platforms.MIT
- Conduct deep multi-source research for literature reviews, comprehensive overviews, and investigative queries. Returns detailed responses with numbered citations.MIT
- Resume a deep research session from its checkpoint to continue codebase analysis without restarting from scratch.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
- Simulate a deep research operation to gather, analyze, and synthesize information, demonstrating MCP task workflows with staged progress. Handles ambiguous queries by requesting clarification.MIT
- Simulate a multi-stage research operation to demonstrate MCP task workflows. Use ambiguous queries to trigger an elicitation request for clarification.MIT