# unified-fetch

> unified-fetch — okokjai-unified-fetch. Use this tool when you need to perform multi-engine web searches and scraping tasks without requiring API keys. It solves problems of data collection and information gathering by providing a unified interface to four search engines and six scrape engines with tiered fallback. The unified-fetch tool takes in search queries or scraping targets as input and outputs relevant data, making it ideal for use cases that require efficient and reliable web data extraction.

Canonical page: https://skillsregistry.net/skills/okokjai-unified-fetch  
JSON: https://api.skillsregistry.net/v1/skills/okokjai-unified-fetch

## Description

Multi-engine web search & scraping MCP server — 4 search engines, 6 scrape engines, tiered fallback, zero API keys

## Trust

- **Trust score (0–1):** 0.15
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/okokjai/unified-fetch)

## 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": "okokjai-unified-fetch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/okokjai-unified-fetch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/okokjai-unified-fetch/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
