# DeepWebResearch

> Use this tool when you need to conduct comprehensive web research across multiple sources or topics, and want to leverage enhanced capabilities such as parallel multi-query execution and intelligent content extraction. It solves problems related to information gathering, data extraction, and research workflows, providing outputs in clean markdown format and screenshot captures. Ideal for use cases requiring deep research, it accepts search queries as inputs and handles rate limiting and error recovery through a queue management system.

Canonical page: https://skillsregistry.net/skills/pedrodnt-deepwebresearch  
JSON: https://api.skillsregistry.net/v1/skills/pedrodnt-deepwebresearch

## Description

MCP-DeepWebResearch provides enhanced web research capabilities for AI assistants, enabling both standard Google searches and parallel multi-query execution for more comprehensive information gathering. Built with TypeScript and Playwright, it features intelligent content extraction that converts web pages to clean markdown, screenshot capture functionality, and a queue management system that handles rate limiting and error recovery. The implementation includes specialized tools for visiting web pages, taking screenshots, and executing batch searches in parallel, making it particularly valuable for workflows requiring deep research across multiple sources or topics.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "pedrodnt-deepwebresearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pedrodnt-deepwebresearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pedrodnt-deepwebresearch/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