# skills.sh MCP Server

> skills.sh MCP Server — aneuroni-skill-sh-mcp. Use this tool when you need to automate the discovery and installation of new skills for AI agents, enabling them to expand their capabilities and improve performance. It solves the problem of manual skill management by providing a seamless interface for searching, evaluating, and installing skills from the skills.sh catalog. With input of skill requirements and output of installed skills, this tool is ideal for use cases where AI agents require rapid skill acquisition and adaptation.

Canonical page: https://skillsregistry.net/skills/aneuroni-skill-sh-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aneuroni-skill-sh-mcp

## Description

Enables AI agents to autonomously search, evaluate, and install skills from the skills.sh catalog.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vltb4l140s)
- **Repository:** <https://github.com/ANeuronI/Skill.sh-MCP>

## 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": "aneuroni-skill-sh-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aneuroni-skill-sh-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aneuroni-skill-sh-mcp/pull`

---
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