# Fast Mode MCP Server

> Use this tool when you need to efficiently deploy and manage websites on the Fast Mode CMS platform, converting and validating content collections and schemas in the process. It solves problems related to template validation, CMS item management, and automated site deployment, streamlining the workflow for AI assistants. With inputs including model context and content collections, it outputs deployed websites and managed CMS items, ideal for use cases requiring rapid and reliable website deployment and management.

Canonical page: https://skillsregistry.net/skills/arihgoldstein-fastmode-mcp  
JSON: https://api.skillsregistry.net/v1/skills/arihgoldstein-fastmode-mcp

## Description

Enables AI assistants to convert, validate, and deploy websites to the Fast Mode CMS platform while managing content collections and schemas. It provides tools for template validation, CMS item management, and automated site deployment directly from the model context.

## Trust

- **Trust score (0–1):** 0.87
- **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/ycsozblke8)
- **Repository:** <https://github.com/arihgoldstein/fastmode-mcp>

## 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": "arihgoldstein-fastmode-mcp"
    }
  }
}
```

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