# Remote MCP Server for Cloudflare

> Use this tool when you need to integrate AI models with Cloudflare services without authentication requirements. It solves problems of secure and scalable model deployment, allowing for seamless interaction with AI models through the Cloudflare AI Playground or Claude Desktop. The Remote MCP Server accepts model inputs and returns outputs through the Model Context Protocol interface, ideal for use cases requiring flexible and authenticated model integration in cloud environments.

Canonical page: https://skillsregistry.net/skills/elizabethsiegle-remote-mcp-server-authless-rootlyai  
JSON: https://api.skillsregistry.net/v1/skills/elizabethsiegle-remote-mcp-server-authless-rootlyai

## Description

A deployable Model Context Protocol server on Cloudflare Workers that runs without authentication requirements, allowing integration with AI models through the Cloudflare AI Playground or Claude Desktop.

## Trust

- **Trust score (0–1):** 1.00
- **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:** [Glama](https://glama.ai/mcp/servers/ulq5306mj9)
- **Repository:** <https://github.com/elizabethsiegle/remote-mcp-server-authless-rootlyai>

## 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": "elizabethsiegle-remote-mcp-server-authless-rootlyai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elizabethsiegle-remote-mcp-server-authless-rootlyai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elizabethsiegle-remote-mcp-server-authless-rootlyai/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