# MCP on Vercel

> Use this tool when you need to deploy Model Context Protocol servers with optimized execution for client integration, or build and host custom tools, prompts, and resources. It provides a foundation for developers to create and deploy MCP-based applications as Vercel Functions, solving problems related to scalable and efficient model deployment. With MCP on Vercel, developers can input custom models and prompts, and output integrated and optimized MCP servers.

Canonical page: https://skillsregistry.net/skills/prncsclo-create-hardcover-mcp-on-vercel-main  
JSON: https://api.skillsregistry.net/v1/skills/prncsclo-create-hardcover-mcp-on-vercel-main

## Description

A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.

## Trust

- **Trust score (0–1):** 0.95
- **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/r3y5di2t61)
- **Repository:** <https://github.com/prncsclo-create/hardcover-mcp-on-vercel-main>

## 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": "prncsclo-create-hardcover-mcp-on-vercel-main"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prncsclo-create-hardcover-mcp-on-vercel-main` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prncsclo-create-hardcover-mcp-on-vercel-main/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