# Remote MCP Server Authless

> Use this tool when you need to deploy custom AI tools without authentication requirements, solving issues of accessibility and streamlining the integration process for AI applications. It provides a serverless implementation on Cloudflare Workers, allowing for flexible and scalable deployment of AI models. The tool accepts AI model inputs and outputs customized results, ideal for use cases where authentication is not necessary or desired.

Canonical page: https://skillsregistry.net/skills/wgh1992-test-remote-mcp-server-authless  
JSON: https://api.skillsregistry.net/v1/skills/wgh1992-test-remote-mcp-server-authless

## Description

A serverless MCP implementation on Cloudflare Workers that allows deploying custom AI tools without authentication requirements.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uhpovnn544)
- **Repository:** <https://github.com/wgh1992/test-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": "wgh1992-test-remote-mcp-server-authless"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wgh1992-test-remote-mcp-server-authless` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wgh1992-test-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