# Open Deep Research

> Use this tool when you need to perform in-depth research on any topic, combining the power of search engines, web scraping, and large language models to generate comprehensive markdown reports. It solves problems of inefficient research, limited information gathering, and tedious report creation, providing intelligent query generation and smart follow-up questions. Ideal for use in contexts where thorough, multi-level research is required, such as academic, professional, or journalistic applications.

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

## Description

This open-source AI-powered research assistant performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. It is available as a Model Context Protocol (MCP) tool for seamless integration with AI agents. The implementation focuses on simplicity, keeping the codebase under 500 lines of code for easy understanding and extensibility. It features intelligent query generation, depth and breadth control, smart follow-up questions, and comprehensive markdown reports. The tool is designed for efficient concurrent processing and can be used standalone or integrated into larger AI systems for in-depth, multi-level research tasks.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ozamatash-open-deep-research)
- **Repository:** <https://github.com/teelaitila/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": "ozamatash-open-deep-research"
    }
  }
}
```

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