# Deep Research

> Use this tool when you need to conduct in-depth investigations on complex topics, generating comprehensive reports with customizable research tones. It solves problems of incomplete or biased research by utilizing multiple AI agents to provide thorough and balanced information. The Deep Research tool takes in queries and research tone preferences as input, producing detailed reports as output, making it ideal for applications requiring objective, critical, optimistic, balanced, or skeptical analysis.

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

## Description

This MCP server implementation provides a deep research capability using multiple AI agents. Developed by JoshuaLelon, it offers a tool for conducting in-depth investigations on given queries with customizable research tones. The server is built using Python and integrates with the FastMCP framework and gpt-researcher library. It focuses on progress reporting and error handling, making it suitable for AI applications that require thorough, multi-agent research on complex topics. The implementation is particularly useful for generating comprehensive reports on a wide range of subjects, with the flexibility to adjust the research tone from objective to critical, optimistic, balanced, or skeptical.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

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

## 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": "joshualelon-deep-research"
    }
  }
}
```

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