# Linkhut

> Use this tool when you need to organize and share bookmarks with team members, solving the problem of scattered references and disorganized URLs. Linkhut takes in bookmarked links as input and provides a minimalistic, shareable interface as output, allowing teams to track references in one place. It is ideal for use in collaborative projects, research, or knowledge management contexts.

Canonical page: https://skillsregistry.net/skills/linkhut  
JSON: https://api.skillsregistry.net/v1/skills/linkhut

## Description

LinkHut manages bookmarked links in a minimalistic, shareable interface, helping teams organize URLs and track references in one place

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/linkhut)

## 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": "linkhut"
    }
  }
}
```

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