# Remote MCP Server on Cloudflare (Authless)

> Use this tool when you need to deploy custom Model Context Protocol servers on Cloudflare Workers without authentication, enabling access to custom tools through an SSE endpoint. It solves problems of secure and scalable model deployment, allowing users to define and access custom tools from clients like Cloudflare AI Playground or Claude Desktop. Ideal for use cases requiring flexible and authentication-free model serving, with inputs including custom tool definitions and outputs via SSE endpoints.

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

## Description

A template for deploying remote Model Context Protocol servers on Cloudflare Workers without authentication. It enables users to define custom tools and access them through an SSE endpoint from clients like Cloudflare AI Playground or Claude Desktop.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s3v49nxiss)
- **Repository:** <https://github.com/aninibread/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": "aninibread-remote-mcp-server-authless"
    }
  }
}
```

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