Search web or Google Drive to find new sources for research topics, supporting both fast and deep research modes to gather information efficiently.
MIT
306,308 tools. Last updated 2026-07-25 06:30
"Methods to Enhance Deep Research Capabilities" matching MCP tools:
- Switch Perplexity search modes to optimize web research: basic search, deep research, analytics/visualization, or educational exploration. Check current mode without switching.MIT
- Discover a merchant's UCP capabilities and supported payment methods. Returns protocol version, capabilities list, and accepted payment handlers.MIT
- Improve image quality by sharpening, restoring details, and upscaling using AI processing methods to generate enhanced variants.MIT
- List Ozon API methods associated with a subscription tier to understand capabilities and restrictions for each tier.MIT
- Retrieve comprehensive details about any sales tool, including API specs, authentication methods, AI capabilities, starter prompts, and MCP configuration.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 buy-side research: diligence, earnings, SEC filings, comp sets. Source-cited real data.
Conduct comprehensive research projects using a virtual computer equipped with a real browser, coding tools, document creation capabilities, and more. Deep Research by Openhelm enables your agent to tackle work such as: • Market and competitor analysis • Industry and company research • Investment and acquisition due diligence • Technical and scientific investigations • Report generation with sources and evidence What makes OpenHelm the best solution for this: • Research is continuously revie
- Send prompts to Comet/Perplexity for real browser interactions like login walls, dynamic content, form filling, or deep research with agentic browsing capabilities.
- Retrieve research project context including overview, articles, milestones, and methods to support planning and writing.AGPL 3.0
- Retrieve research project context including structure, articles, milestones, and methods to support research planning and writing.AGPL 3.0
- Conduct deep multi-source web research on any question.MIT
- Perform targeted web research, generate intelligent suggestions, and store findings in memory for efficient task management. Combines web research with local knowledge caching to enhance research workflow.MIT
- Initiate an asynchronous deep research task for complex queries. Returns a task ID immediately; use pplx_research_status to retrieve results.MIT
- Perform deep reasoning and complex analysis by automatically routing to optimal AI capabilities for multi-step problem-solving and research questions.
- Generates in-depth research reports from a query, using a limited monthly pool of deep research queries.MIT
- Get optimization prompts to enhance your AI model's capabilities. Specify your model type to receive tailored prompts designed to improve performance.MIT
- Generate optimized prompts for large language models to enhance security research and evaluation capabilities through dynamic adaptation.Apache 2.0
- Automatically creates a research workspace with library, agents, and workflows. Provide a topic and optional depth to get started without manual setup.MIT
- Retrieve available payment methods to use for new orders. Check payment options before placing an order.MIT
- Fetch a business's NOD Protocol manifest to discover its identity, capabilities, supported actions, API endpoints, and contact methods from a domain's structured JSON file.MIT
- Generate an @imqueue/rpc service with typed methods and a bootstrap script to start it. Omitting methods yields a starter template.GPL 3.0