# aimarket-mcp-packager

> Use this tool when you need to package AI Market capabilities as Docker images with accompanying MCP manifests and Claude Desktop configurations. It solves the problem of streamlined capability deployment by exposing three key MCP tools: packaging, Dockerfile generation, and Claude Desktop config generation. The tool accepts inputs via stdio and outputs packaged capabilities, making it ideal for use cases requiring efficient and standardized capability deployment.

Canonical page: https://skillsregistry.net/skills/alexar76-aimarket-plugins  
JSON: https://api.skillsregistry.net/v1/skills/alexar76-aimarket-plugins

## Description

Model Context Protocol (MCP) stdio server built with the official MCP Python SDK (FastMCP). Exposes 3 MCP tools: package_capability, generate_dockerfile, generate_claude_desktop_config — package AIMarket capabilities as Docker images + MCP manifest + Claude Desktop config. Entrypoint: mcp_stdio_server.py; root Dockerfile + glama.json in repo.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zfvxt7xt57)
- **Repository:** <https://github.com/alexar76/aimarket-plugins>

## 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": "alexar76-aimarket-plugins"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexar76-aimarket-plugins` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexar76-aimarket-plugins/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