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
444,529 tools. Updated 2026-08-11 17:05
"A multifunctional research MCP server for a deep researcher subagent" matching MCP tools:
- Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.MIT
- Conduct deep multi-agent research on any topic, spawning parallel subagents for comprehensive coverage and producing a cited report with adaptive stopping.MIT
- Conduct deep multi-source research for literature reviews, comprehensive overviews, and investigative queries. Returns detailed responses with numbered citations.MIT
- Verify the Research Intelligence MCP server status and retrieve its current runtime metadata.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
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
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.
- Cancel a Deep Research task to abort expensive operations early. Sends a cancel request and cleans up local tracking state.MIT
- Check MCP server health and cache stats. Optionally verify API connectivity with deep parameter. Use for diagnosing server status and rate limits.MIT
- 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
- 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 for academic researcher profiles on Google Scholar by author name, returning affiliation, citation counts, and research interests.MIT
- Initiate a deep research task asynchronously to avoid timeouts. Returns a task ID immediately for later status polling.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
- 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
- Reverse file changes and command side effects from a subagent run. Force overrides rollback conflicts.MIT
- Initiate a deep research analysis by submitting a query. Returns an interaction ID for tracking and asynchronous result retrieval.MIT
- Returns a short greeting for a person. Verifies that the MCP server is running.MIT
- Check if a server has an MCP server card at .well-known/mcp-server-card.json.MIT
- Spawn a focused subagent to research a specific aspect by generating queries, executing web searches, fetching content, and evaluating findings for detailed results.MIT
- Start a subagent run to perform file operations and execute commands within a specified directory, supporting read-only exploration or writable work.MIT