# Easy Model Deployer

> Use this tool when you need to streamline machine learning model deployment workflows directly through conversational AI interfaces. The Easy Model Deployer enables AI assistants to deploy, manage, and interact with models on AWS services, solving problems such as model deployment and management. It takes model parameters and deployment commands as input and outputs deployment status and results, making it ideal for use cases where automated model deployment and invocation are required.

Canonical page: https://skillsregistry.net/skills/yanbasic-emd  
JSON: https://api.skillsregistry.net/v1/skills/yanbasic-emd

## Description

EMD-MCP server provides a bridge between Claude and the Easy Model Deployer (EMD) tool, enabling AI assistants to deploy, manage, and interact with machine learning models on AWS services. Built with TypeScript and the Model Context Protocol SDK, it offers tools for listing supported models, deploying models with customizable parameters, checking deployment status, invoking deployed models, and destroying deployments. The server automatically installs EMD if needed and handles command execution through child processes, making it valuable for users who want to streamline ML model deployment workflows directly through conversational AI interfaces.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yanbasic-emd)
- **Repository:** <https://github.com/yanbasic/emd-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": "yanbasic-emd"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yanbasic-emd` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yanbasic-emd/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