# Next.js MCP Server

> Use this tool when you need to integrate MCP servers into your Next.js projects, enabling seamless addition of tools, prompts, and resources to extend LLM applications with external context and actions. It solves problems of scalable real-time communication and efficient deployment, accepting inputs such as tools and prompts and outputting enhanced LLM applications. Ideal for use cases requiring external context and actions in LLM applications, with support for SSE transport and Redis integration.

Canonical page: https://skillsregistry.net/skills/samihalawa-next-js-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/samihalawa-next-js-mcp-server

## Description

Enable seamless integration of MCP servers within your Next.js projects using the Vercel MCP Adapter. Easily add tools, prompts, and resources to extend your LLM applications with external context and actions. Deploy efficiently on Vercel with support for SSE transport and Redis integration for scalable real-time communication.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/samihalawa/next-js-mcp-server)

## 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": "samihalawa-next-js-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samihalawa-next-js-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samihalawa-next-js-mcp-server/pull`

---
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
