# digital-twin-mcp-portfolio

> digital-twin-mcp-portfolio — archana-mukunthamani-digital-twin-mcp-portfolio. Use this tool when you need to manage and optimize complex systems through virtual replication, solving problems related to performance, maintenance, and decision-making. It takes in system data and configuration as inputs and outputs predictive analytics and recommendations, utilizing AI and vector search capabilities. Ideal for use cases involving system monitoring, simulation, and optimization, such as industrial operations or smart cities.

Canonical page: https://skillsregistry.net/skills/archana-mukunthamani-digital-twin-mcp-portfolio  
JSON: https://api.skillsregistry.net/v1/skills/archana-mukunthamani-digital-twin-mcp-portfolio

## Description

Digital Twin MCP Server - A RAG-powered AI assistant using Upstash Vector and Next.js

## Trust

- **Trust score (0–1):** 0.87
- **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/archana-mukunthamani/digital-twin-mcp-portfolio)

## 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": "archana-mukunthamani-digital-twin-mcp-portfolio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/archana-mukunthamani-digital-twin-mcp-portfolio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/archana-mukunthamani-digital-twin-mcp-portfolio/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