# deep-research

> Use this tool when you need to perform complex research tasks that require integrating multiple large language models (LLMs) and MCP tools. It solves problems related to in-depth information gathering, analysis, and processing by providing a multi-agent architecture that streamlines research workflows. The tool accepts various inputs via MCP stdio, streamable HTTP, and SSE transports, making it suitable for applications that require flexible and efficient data exchange.

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

## Description

Enables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nzhfe34s2u)
- **Repository:** <https://github.com/troyhantech/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": "troyhantech-deep-research"
    }
  }
}
```

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