# Deep Research Gemini

> Use this tool when you need to conduct thorough and multi-angle investigations on a topic, requiring comprehensive web searches and detailed analytical reports. Deep Research Gemini solves problems of shallow research and inefficient information gathering by providing AI-powered automation that delivers publication-ready analysis. It takes in research topics and parameters as inputs and outputs detailed 1500-2000 word reports with proper structure and citations.

Canonical page: https://skillsregistry.net/skills/ragha02-deep-research-gemini  
JSON: https://api.skillsregistry.net/v1/skills/ragha02-deep-research-gemini

## Description

This MCP server provides AI assistants with deep web research capabilities through a multi-agent system built using CrewAI and powered by Google's Gemini 2.5 Pro, with LinkUp API integration for comprehensive web searches. The implementation orchestrates two specialized agents - a web searcher that conducts up to 5 strategic searches covering different aspects of a topic, and a research writer that synthesizes findings into detailed 1500-2000 word reports with proper structure and citations. Built with intelligent search depth selection (alternating between standard and deep searches), global search limiting, retry mechanisms for API rate limiting, and enhanced timeout handling, it serves researchers needing thorough multi-angle investigations, content creators requiring well-sourced analytical reports, and teams wanting AI-powered research automation that goes beyond simple search queries to deliver publication-ready analysis.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ragha02-deep-research-gemini)
- **Repository:** <https://github.com/ragha02/deep_rsrch_gemini>

## 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": "ragha02-deep-research-gemini"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ragha02-deep-research-gemini` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ragha02-deep-research-gemini/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