# Netlify Serverless MCP

> Use this tool when you need to deploy and manage Model Context Protocol (MCP) servers with ease, solving problems of scalable and automated model deployment. It provides a serverless implementation with customizable URLs and automated deployment pipelines, accepting model configurations as input and outputting deployed MCP servers. Ideal for use cases requiring flexible and efficient model serving, such as machine learning workflows and AI applications.

Canonical page: https://skillsregistry.net/skills/renovate-bot-moehami-mcpnetlifyfun  
JSON: https://api.skillsregistry.net/v1/skills/renovate-bot-moehami-mcpnetlifyfun

## Description

Demonstrates how to deploy and run Model Context Protocol (MCP) servers using Netlify's serverless functions. Provides a basic example of serverless MCP implementation with customizable URLs and automated deployment pipeline.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g3nhs5d2i7)
- **Repository:** <https://github.com/renovate-bot/moehami-_-mcpnetlifyfun>

## 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": "renovate-bot-moehami-mcpnetlifyfun"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/renovate-bot-moehami-mcpnetlifyfun` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/renovate-bot-moehami-mcpnetlifyfun/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