# mcp-open-webresearch

> Use this tool when you need to perform comprehensive web searches across multiple engines and extract relevant information from webpages. It solves problems of limited search capabilities and manual content extraction, providing automated markdown content extraction and recursive searching. The tool accepts web search queries and webpage URLs as inputs, and outputs synthesized search results and extracted markdown content, making it ideal for use in complex network environments.

Canonical page: https://skillsregistry.net/skills/rinaldowouterson-mcp-open-webresearch  
JSON: https://api.skillsregistry.net/v1/skills/rinaldowouterson-mcp-open-webresearch

## Description

A proxy-aware MCP server that enables web searching across multiple engines and automated markdown content extraction from webpages. It features a deep research agent for recursive searching and synthesis, supporting complex network environments through SOCKS5 and HTTP proxies.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hemxxon7qu)
- **Repository:** <https://github.com/rinaldowouterson/mcp-open-webresearch>

## 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": "rinaldowouterson-mcp-open-webresearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rinaldowouterson-mcp-open-webresearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rinaldowouterson-mcp-open-webresearch/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