# Vercel

> Use this tool when you need to deploy a scalable and serverless Model Context Protocol (MCP) endpoint for AI model interactions, particularly for applications such as chatbots, content generation, and data analysis. It provides a lightweight and easily deployable implementation using TypeScript and Node.js, with a modular structure for adaptability. Ideal for developers seeking to quickly set up an MCP server on Vercel for various AI-driven use cases.

Canonical page: https://skillsregistry.net/skills/nganiet-vercel  
JSON: https://api.skillsregistry.net/v1/skills/nganiet-vercel

## Description

This Vercel-based MCP server, developed using TypeScript and Node.js, provides a lightweight and easily deployable implementation of the Model Context Protocol. It leverages the MCP SDK and integrates with Vercel's serverless infrastructure to offer a scalable solution for AI model interactions. The server's modular structure and use of modern JavaScript features make it adaptable for various AI-driven applications. It is particularly suited for developers looking to quickly set up an MCP endpoint on Vercel, enabling use cases such as chatbots, content generation, and data analysis tasks that require serverless AI model access.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nganiet-vercel)
- **Repository:** <https://github.com/nganiet/mcp-vercel>

## 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": "nganiet-vercel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nganiet-vercel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nganiet-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