Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
MIT
509,037 tools. Updated 2026-09-03 00:52
"A server for conducting deep research" matching MCP tools:
- 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
- Check server health status, authentication state, and active sessions to verify readiness for research workflows. Use deep check mode to confirm NotebookLM chat UI accessibility.MIT
- Start deep research asynchronously for complex queries to avoid connection timeouts. Receive a task ID immediately, then poll research status to retrieve the final result.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
- Initiate a deep research analysis by submitting a query. Returns an interaction ID for tracking and asynchronous result retrieval.MIT
Matching MCP Servers
- 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
- AlicenseAqualityBmaintenanceA 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.3108MIT
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.
- Conduct deep multi-source web research on any question.MIT
- Generates in-depth research reports from a query, using a limited monthly pool of deep research queries.MIT
- Start a deep research job asynchronously and get a request ID to poll for results. Use with the sonar-deep-research model for long-running queries.
- Analyze queries to identify research goals like quick answers, deep research, or documentation, providing confidence scores for each intent classification.
- Perform deep financial research on any topic using AI agents. Customize research depth, persona, focus areas, and timeframe for comprehensive analysis.MIT
- 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
- Automatically creates a research workspace with library, agents, and workflows. Provide a topic and optional depth to get started without manual setup.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
- Check research progress and wait for completion, polling at intervals until the task finishes or times out. Returns the research report details once ready.MIT
- Create a new task for Leapd to execute, such as building a page, conducting research, or fixing an issue. Provide a short title and optional details to add work to your plan.MIT
- 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
- Generate comprehensive equity research reports with company profiles, financial analysis, recent signals, and investment narratives in one call for rendering.MIT
- 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 to gather and synthesize information from across the web. Returns a task ID for polling results.Apache 2.0