# AiDeploymentMcp

> AiDeploymentMcp — milutin2002-aideploymentmcp. Use this tool when you need to automate and manage AI model deployments, solving problems of version control and collaboration across teams. It integrates with git, taking in model updates and outputting deployed models, streamlining the deployment process. Ideal for use cases requiring consistent and reliable model deployment, such as production environments or large-scale AI projects.

Canonical page: https://skillsregistry.net/skills/milutin2002-aideploymentmcp  
JSON: https://api.skillsregistry.net/v1/skills/milutin2002-aideploymentmcp

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/milutin2002/AiDeploymentMcp)

## 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": "milutin2002-aideploymentmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/milutin2002-aideploymentmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/milutin2002-aideploymentmcp/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