# skills-mcp-server

> skills-mcp-server — amazingashis-mcp-deployment. Use this tool when you need to expose and manage skill packs via MCP resources, enabling clients to list, search, and retrieve skill context. It solves problems of skill discovery and access, providing a standardized interface for MCP clients to interact with skill packs. The tool accepts inputs such as search queries and skill identifiers, and outputs relevant skill information and context.

Canonical page: https://skillsregistry.net/skills/amazingashis-mcp-deployment  
JSON: https://api.skillsregistry.net/v1/skills/amazingashis-mcp-deployment

## Description

Exposes Cursor-style skill packs (SKILL.md trees) via MCP resources, tools, and prompts, enabling any MCP client to list, get, search skills, and retrieve skill context.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **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/ja6t47cmus)
- **Repository:** <https://github.com/amazingashis/mcp-deployment>

## 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": "amazingashis-mcp-deployment"
    }
  }
}
```

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