# Remote MCP Server Authless

> Use this tool when you need to deploy custom AI models without authentication requirements, allowing users to create and interact with AI tools through the Model Context Protocol. It solves the problem of restricted access to AI model deployment and usage, providing an open interface for users to input their model configurations and receive output from the deployed models. Ideal for development, testing, and public-facing AI applications, it accepts model definitions as input and returns executable AI models as output.

Canonical page: https://skillsregistry.net/skills/the1carver-remote-mcp-server-authless  
JSON: https://api.skillsregistry.net/v1/skills/the1carver-remote-mcp-server-authless

## Description

A deployable MCP server on Cloudflare Workers that doesn't require authentication, allowing users to create and use custom AI tools through the Model Context Protocol.

## 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/ugbogu6wnv)
- **Repository:** <https://github.com/the1carver/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": "the1carver-remote-mcp-server-authless"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/the1carver-remote-mcp-server-authless` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/the1carver-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