# MCP WebResearch

> Use this tool when you need to perform intelligent web searches with ease, leveraging AI-ready capabilities to solve information gathering and research problems. It takes in search queries as input and outputs relevant results, utilizing SearxNG and Playwright for efficient browsing. Ideal for use cases requiring automated web research, data collection, or fact-finding, with a simple one-step Docker setup for seamless integration.

Canonical page: https://skillsregistry.net/skills/damameet14-mcp-webresearch  
JSON: https://api.skillsregistry.net/v1/skills/damameet14-mcp-webresearch

## Description

An AI-ready MCP server that performs intelligent web searches using SearxNG and Playwright, with one-step Docker setup.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g9ah2aenoj)
- **Repository:** <https://github.com/damameet14/mcp-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": "damameet14-mcp-webresearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/damameet14-mcp-webresearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/damameet14-mcp-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