# Metasearch

> Use this tool when you need to aggregate search results from multiple providers, such as Google, Wikipedia, or GitHub, to find relevant information across the web, academic literature, and repositories. It solves problems of information fragmentation and provides a unified interface for searching various sources. With inputs of search queries and outputs of aggregated results, use Metasearch in contexts where comprehensive search capabilities are required.

Canonical page: https://skillsregistry.net/skills/gefsikatsinelou-metasearch  
JSON: https://api.skillsregistry.net/v1/skills/gefsikatsinelou-metasearch

## Description

Aggregates search results from 40+ providers including Google, DuckDuckGo, Wikipedia, arXiv, and GitHub through a single interface. Provides tools for web, academic literature, and repository search using FastAPI and stdio transport. Python package with 37 GitHub stars.

## Trust

- **Trust score (0–1):** 0.32
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gefsikatsinelou-metasearch)
- **Repository:** <https://github.com/gefsikatsinelou/metasearchmcp>

## 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": "gefsikatsinelou-metasearch"
    }
  }
}
```

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