aimarket-mcp-packager — MCP server

Quality score: glama.ai/mcp/servers/alexar76/aimarket-plugins/score ·

This repository ships a Model Context Protocol (MCP) server that packages AIMarket capabilities into self-hosted MCP server products (Docker image metadata, MCP manifest, Claude Desktop config).

Transport: stdio (aimarket_mcp_packager/stdio_server.py). Built with the official MCP Python SDK (mcp package, FastMCP).

Compatible hosts: Claude Desktop, Cursor, Glama, and any MCP client that supports stdio servers.

---

MCP server in this repo

Item	Location
MCP entrypoint	aimarket_mcp_packager/stdio_server.py
MCP SDK dependency	requirements-mcp.txt — mcp>=1.6,<4
Glama / Docker run	Dockerfile, glama.json, docs/GLAMA.md
Tool implementation	aimarket_mcp_packager/packager_core.py

Run locally:

pip install -r requirements-mcp.txt
pip install -e .
python -m aimarket_mcp_packager.stdio_server

Or with Docker (stdio MCP server):

docker build -t aimarket-mcp-packager .
docker run --rm -i aimarket-mcp-packager

---

MCP tools

The server exposes 3 tools (no MCP resources or prompts):

Tool	Description
package_capability	Build an MCP server package: Docker image name, mcp_manifest, subscription tiers, connection string
generate_dockerfile	Generate a Dockerfile template for the packaged MCP server
generate_claude_desktop_config	Generate a claude_desktop_config.json snippet (mcpServers) for docker-run MCP

Example tool call (conceptual):

{
  "name": "package_capability",
  "arguments": {
    "capability_id": "translate.multi@v2",
    "product_id": "prod-001",
    "name": "Lyra",
    "description": "Multilingual translator",
    "input_schema": { "type": "object", "properties": { "text": { "type": "string" } }, "required": ["text"] }
  }
}

input_schema takes a JSON Schema object (a JSON string is also tolerated for backward compatibility). Every tool parameter is documented in the server's tool schema for MCP clients.

---

MCP resources

This server does not register MCP resources or prompts — only the tools above. Output is JSON text returned from each tool call.

---

Client configuration

Claude Desktop

{
  "mcpServers": {
    "aimarket-mcp-packager": {
      "command": "python",
      "args": ["-m", "aimarket_mcp_packager.stdio_server"]
    }
  }
}

Compat path (what Glama's admin form historically used — keep the shim file):

{
  "mcpServers": {
    "aimarket-mcp-packager": {
      "command": "python",
      "args": ["plugins/aimarket-mcp-packager/mcp_stdio_server.py"]
    }
  }
}

Docker variant (see generate_claude_desktop_config tool output):

{
  "mcpServers": {
    "aimarket-mcp-packager": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "aimarket-mcp-packager:latest"]
    }
  }
}

Cursor

Add the same stdio server under Settings → MCP (command + args pointing at aimarket_mcp_packager/stdio_server.py or the Docker image above).

---

Python library (optional)

The same packaging logic is available as a library and as an AIMarket Hub plugin (PyPI package coming soon — for now pip install -e . from this directory, or use the AIMarket Hub Docker image). Hub HTTP routes are optional; the MCP server runs standalone via aimarket_mcp_packager/stdio_server.py.

from aimarket_mcp_packager.mcp_packager import MCPPackager

packager = MCPPackager()
pkg = packager.package(
    capability_id="translate.multi@v2",
    product_id="prod-001",
    name="Lyra",
    description="Multilingual translator",
    input_schema={"type": "object", "properties": {"text": {"type": "string"}}},
    price_per_call_usd=0.40,
)

print(pkg.docker_image)
print(pkg.mcp_manifest)
print(packager.generate_claude_desktop_config(pkg))

---

When to use

• Distribute AI capabilities as self-hosted MCP servers (Docker + manifest)
• Generate Claude Desktop / Cursor MCP client configs
• Enterprise on-prem deployment with subscription tiers

Subscription tiers (packaged products)

Tier	Calls/month	Price
Starter	100	$9.99
Pro	1,000	$49.99
Enterprise	10,000	$299.99

Documentation

Document	Description
User guide	Install, Hub plugin, verify loaded
User cases	Personas and cross-plugin workflows
SDK integration	Code examples and hook behavior

License

MIT · Maintained by AI-Factory