# Nuxt MCP Server on Vercel

> Use this tool when you need to deploy a Model Context Protocol server for AI applications, allowing integration of AI tools and resources through the MCP TypeScript SDK. It solves problems of AI implementation and deployment by providing a simple Nuxt application deployable on Vercel. This server takes in MCP SDK inputs and outputs AI-driven responses, making it ideal for developers building AI-powered projects on Vercel.

Canonical page: https://skillsregistry.net/skills/atinux-mcp-with-nuxt-vercel  
JSON: https://api.skillsregistry.net/v1/skills/atinux-mcp-with-nuxt-vercel

## Description

A simple Nuxt application that serves as a Model Context Protocol server deployable on Vercel, allowing developers to implement AI tools, prompts, and resources through the MCP TypeScript SDK.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p86z0ph6jw)
- **Repository:** <https://github.com/atinux/mcp-with-nuxt>

## 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": "atinux-mcp-with-nuxt-vercel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atinux-mcp-with-nuxt-vercel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atinux-mcp-with-nuxt-vercel/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