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
468,253 tools. Updated 2026-08-22 17:12
"Resources or tools for conducting in-depth research" matching MCP tools:
- Perform in-depth research on complex topics using AI agents that search multiple sources, analyze findings, and compile comprehensive reports for thorough investigations.MIT
- Conducts in-depth analysis and generates detailed research reports on complex topics using advanced AI models for comprehensive investigation.MIT
- Generates in-depth research reports from a query, using a limited monthly pool of deep research queries.MIT
- Identify gaps in schema.gov.it coverage by comparing its semantic resources against the international OKG catalog for a specific domain, showing covered and missing standards.MIT
- Install all skills from a curated agent pack in a single call. Choose a pack like 'research-agent' to set up multiple tools for a specific role.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceLocal-first MCP server that gives Claude Code web search, page reading, video transcription, and image analysis — without paid API keys. Runs SearXNG + whisper.cpp natively on Apple Silicon for zero-cost, low-latency research workflows.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to perform monocular depth estimation on images using Apple's Depth Pro model, with tools for single or batch processing and GPU management.2
Matching MCP Connectors
Read-only MCP over the LivingMeta AI-in-Research corpus: 12,400 papers, gaps, priority agenda.
Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.
- When you need to know what AI Dimag can do, get an overview of its tools, prompts, resources, and CLI commands.MIT
- Automatically creates a research workspace with library, agents, and workflows. Provide a topic and optional depth to get started without manual setup.MIT
- Detect missing labels or descriptions in ontology resources, with optional filtering to exclude imported resources for accurate quality checks.MIT
- Retrieve the full RDF description of any schema.gov.it resource, including direct properties (depth 1) or linked resources (depth 2).MIT
- Identifies equivalent resources in the Open Knowledge Graphs catalog for a schema.gov.it concept, using Wikidata alignments and label search to confirm matches or suggest candidates.MIT
- Access step-by-step guidance for Phase 1 business context analysis: objectives, steps, tools, and expected outputs for effective threat modeling.Apache 2.0
- Provides step-by-step instructions for Phase 3 threat actor analysis, covering objectives, tools, and expected outputs to support STRIDE-based threat modeling.Apache 2.0
- Get step-by-step guidance for Phase 8 residual risk analysis, including objectives, steps, tools, and expected outputs.Apache 2.0
- 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
- Connect to a nomos controller by name to access its tools and resources, automatically disconnecting any previously connected controller.MIT
- Discover available Velixar tools, resources, prompts, and features to see which cognitive capabilities are enabled.MIT
- Find structured guidance for Phase 7.5 code validation analysis, including objectives, recommended steps, tools, and expected outputs to support threat modeling activities.Apache 2.0
- Traverse Redfish resource graph via breadth-first walk to discover nodes when typed list/get tools are insufficient. Returns URI, depth, type, and visited count.Apache 2.0
- Explore a symbol's neighborhood in a code topology index. Trace connections like calls, imports, and inheritance to see what touches any function, type, or class, with configurable depth and node limits.MIT