# Remote MCP Server Authless

> Use this tool when you need to deploy a remote Model Context Protocol server without authentication, enabling custom tool development and exposure to remote clients via Server-Sent Events (SSE). It solves problems related to building and deploying AI models and tools, allowing for seamless integration with clients like Claude Desktop and Cloudflare AI Playground. The tool takes in custom model configurations and outputs real-time event streams, ideal for use cases requiring low-latency, event-driven communication.

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

## Description

A template for deploying a remote Model Context Protocol server on Cloudflare Workers without authentication. It enables users to build custom tools and expose them to remote clients like Claude Desktop and the Cloudflare AI Playground using Server-Sent Events (SSE).

## 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/nx6w6p20x4)
- **Repository:** <https://github.com/sheyboy/remote-mcp-server-authless>

## 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": "sheyboy-remote-mcp-server-authless"
    }
  }
}
```

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