# claude-skills-mcp

> claude-skills-mcp — orionli545-claude-skills-mcp. Use this tool when you need to discover relevant Claude Agent Skills using intelligent search capabilities based on vector embeddings and semantic similarity. It solves problems of skill discovery and recommendation, providing a progressive disclosure architecture for efficient skill retrieval. The tool takes in search queries as input and outputs relevant Claude Agent Skills, making it ideal for use cases where skill discovery is crucial.

Canonical page: https://skillsregistry.net/skills/orionli545-claude-skills-mcp  
JSON: https://api.skillsregistry.net/v1/skills/orionli545-claude-skills-mcp

## Description

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee

## Trust

- **Trust score (0–1):** 0.14
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fqf3yr58p6)
- **Repository:** <https://github.com/K-Dense-AI/claude-skills-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": "orionli545-claude-skills-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orionli545-claude-skills-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orionli545-claude-skills-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