# Example Next.js MCP Server

> Example Next.js MCP Server — floryvibla-mcp-linkedin-api-voyager. Use this tool when you need to create a stateless MCP server for App Router applications, providing compatibility with 2025-era Streamable HTTP clients and support for the 2026-07-28 protocol. It solves problems related to building scalable and efficient MCP servers, handling requests and responses with ease. With inputs for custom application routing and outputs for streamlined HTTP communication, it's ideal for developers building Next.js applications requiring MCP server functionality.

Canonical page: https://skillsregistry.net/skills/floryvibla-mcp-linkedin-api-voyager  
JSON: https://api.skillsregistry.net/v1/skills/floryvibla-mcp-linkedin-api-voyager

## Description

A Next.js MCP server template using mcp-handler 2 and the MCP TypeScript SDK v2, providing a stateless MCP server for App Router applications with built-in support for the 2026-07-28 protocol and compatibility with 2025-era Streamable HTTP clients.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lerh733wlf)
- **Repository:** <https://github.com/Floryvibla/mcp-linkedin-api-voyager>

## 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": "floryvibla-mcp-linkedin-api-voyager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/floryvibla-mcp-linkedin-api-voyager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/floryvibla-mcp-linkedin-api-voyager/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