# ml-lifecycle-mcp

> ml-lifecycle-mcp — khuong-quan-nguyen-ml-lifecycle-mcp. Use this tool when you need to generate trustworthy time series forecasts with audit logging capabilities. It solves problems related to autonomous forecasting, providing a reliable and transparent solution for predicting future trends. The tool accepts time series data as input and outputs forecasted values, making it ideal for applications requiring accurate and accountable predictions.

Canonical page: https://skillsregistry.net/skills/khuong-quan-nguyen-ml-lifecycle-mcp  
JSON: https://api.skillsregistry.net/v1/skills/khuong-quan-nguyen-ml-lifecycle-mcp

## Description

Exposes a time series forecasting model as an MCP tool with built-in audit logging for every call, enabling trustworthy autonomous forecasting.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f9c53lqy8j)
- **Repository:** <https://github.com/Khuong-Quan-Nguyen/ml-lifecycle-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": "khuong-quan-nguyen-ml-lifecycle-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khuong-quan-nguyen-ml-lifecycle-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khuong-quan-nguyen-ml-lifecycle-mcp/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