# MCP Metaso

> Use this tool when you need to perform comprehensive searches across multiple dimensions, including web, documents, and multimedia content. It solves problems of information discovery and webpage content parsing, providing relevant results and insights. The MCP Metaso server takes in search queries as input and outputs relevant search results, making it ideal for use cases requiring in-depth research and data analysis.

Canonical page: https://skillsregistry.net/skills/hundunonline-mcp-metaso  
JSON: https://api.skillsregistry.net/v1/skills/hundunonline-mcp-metaso

## Description

A Model Context Protocol server that enables Claude and compatible AI assistants to perform multi-dimensional searches (web, documents, scholarly articles, images, videos, podcasts) and parse webpage content using the Metaso AI search engine.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b13k8elmga)
- **Repository:** <https://github.com/HundunOnline/mcp-metaso>

## 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": "hundunonline-mcp-metaso"
    }
  }
}
```

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