# com.vercel/vercel-mcp

> Use this tool when you need to manage and configure Multi-Cluster Pods (MCP) for Vercel, solving issues related to scalable and distributed deployments. It provides an MCP server for Vercel, accepting configuration inputs and outputting managed pod deployments. Ideal for use cases requiring automated cluster management and scalable application hosting.

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

## Description

An MCP server for Vercel

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 0.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-07-06

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.vercel%2Fvercel-mcp)
- **Repository:** <https://github.com/vercel/vercel-mcp-overview>

## Use it

MCP endpoint published by the skill: `https://mcp.vercel.com`

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": "com-vercel-vercel-mcp"
    }
  }
}
```

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