# OpenUnfurl

> OpenUnfurl — solvohq-openunfurl. Use this tool when you need to extract metadata from public URLs without requiring API keys or signup processes. OpenUnfurl solves the problem of fetching clean title, description, and image data from links, providing a seamless link-preview experience. It takes a public URL as input and returns relevant metadata as output, ideal for use cases where quick link analysis is necessary.

Canonical page: https://skillsregistry.net/skills/solvohq-openunfurl  
JSON: https://api.skillsregistry.net/v1/skills/solvohq-openunfurl

## Description

Zero-signup link-preview API that returns clean metadata (title, description, image, etc.) from any public URL. No API key required.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p9xziloxtq)
- **Repository:** <https://github.com/SolvoHQ/openunfurl>

## 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": "solvohq-openunfurl"
    }
  }
}
```

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