# Claude Deep Research

> Use this tool when you need to conduct in-depth research on complex topics, as it provides unified access to web and academic information, enabling thorough searches and delivering structured results with proper citations. It solves problems of information overload and disorganization by guiding users through a multi-stage research workflow, from initial exploration to comprehensive analysis. Ideal for use cases requiring well-organized and reliable information, Claude Deep Research takes in research queries and outputs structured research results with citations.

Canonical page: https://skillsregistry.net/skills/claude-deep-research  
JSON: https://api.skillsregistry.net/v1/skills/claude-deep-research

## Description

Claude Deep Research is an MCP server that extends AI assistants' capabilities by providing unified access to web and academic information through DuckDuckGo and Semantic Scholar integrations. It enables Claude to search multiple sources, extract content from web pages, follow relevant links, and deliver structured research results with proper citations. The implementation features a multi-stage research workflow that guides users through initial exploration, synthesis, visualization, follow-up research, and comprehensive analysis, making it particularly valuable for users needing thorough, well-organized information on complex topics.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-16

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/claude-deep-research)
- **Repository:** <https://github.com/mcherukara/claude-deep-research>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "claude-deep-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/claude-deep-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/claude-deep-research/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
